Next Article in Journal
Effects of Surface Wave-Induced Mixing and Wave-Affected Exchange Coefficients on Tropical Cyclones
Next Article in Special Issue
DRL-Based Load-Balancing Routing Scheme for 6G Space–Air–Ground Integrated Networks
Previous Article in Journal
Snowfall Variation in Eastern Mediterranean Catchments
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

An Overview of Emergency Communication Networks

1
School of Communication and Information Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
2
James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK
3
Shanxi Fenxi Mining Group Co., Ltd., Jiexiu 032000, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2023, 15(6), 1595; https://doi.org/10.3390/rs15061595
Submission received: 10 December 2022 / Revised: 25 February 2023 / Accepted: 11 March 2023 / Published: 15 March 2023

Abstract

:
In recent years, major natural disasters and public safety accidents have frequently occurred worldwide. In order to deal with various disasters and accidents using rapidly deployable, reliable, efficient, and stable emergency communication networks, all countries in the world are strengthening and improving emergency communication network construction and related technology research. Motivated by these situations, in this paper, we provide a state-of-the-art survey of the current situation and development of emergency communication networks. In this detailed investigation, our primary focus is the extensive discussion of emergency communication network technology, including satellite networks, ad hoc networks, cellular networks, and wireless private networks. Then, we explore and analyze the networks currently applied in emergency rescue, such as the 370M narrowband private network, broadband cluster network, and 5G constellation plan. We propose a broadband-narrowband integrated emergency communication network to provide an effective solution for visual dispatch of emergency rescue services. The main findings derived from the comprehensive survey on the emergency communication network are then summarized, and possible research challenges are noted. Lastly, we complete this survey by shedding new light on future directions for the emergency communication network. In the future, the emergency network will develop in the direction of intelligence, integration, popularization, and lower cost, and space-air-ground-sea integrated networks. This survey provides a reference basis for the construction of networks to mitigate major natural disasters and public safety accidents.

1. Introduction

In the past few years, China and the world have witnessed an endless stream of disasters, such as earthquakes [1], hurricanes [2], and tsunamis [3]. Various natural and man-made disasters have caused huge losses of life and property, such as the 7.3-magnitude earthquake in Haiti, which caused at least 2248 deaths, with 329 people missing and 12,268 injured [4]. The United States has been hit hard by hurricanes which have triggered storm surges, floods, and other disasters. These disasters caused infrastructure damage and large-scale power outages, with economic losses of more than USD 95 billion [5]. From 1894 to 2021, the Uttarakhand Himalaya witnessed at least 16 major disasters. In 2021, glaciers in the Himalaya Mountains broke, causing a series of floods, mudslides, avalanches, and other disasters, which destroyed many bridges, dams, power stations, tunnels, and villages in Chamoli, North Akande, India, leaving 174 people unaccounted for and 32 dead [6]. If adequate communications support can be provided in the aftermath of a disaster, we believe that casualties and property damage can be reduced. The occurrence of major natural disasters and public safety accidents can even damage the existing communication networks, resulting in communication interruptions and preventing the disaster area from contacting the outside world [7]. Therefore, communication networks are very important during a disaster, because rescue and recovery largely depend on the communication channel provided. However, once a disaster occurs, the traditional communication network is fragile; at this time, a temporary communication system, namely an emergency communication network, should be built as soon as possible.
Before a disaster, the emergency communication network can combine the data obtained from different systems to provide a technical platform for early warning, and disaster reduction and prediction, so as to improve the ability to monitor, manage, and control accidents and disasters. After a disaster, the emergency communication network can quickly and reliably restore communication in the disaster area, assist users, be used to rescue workers, support disaster relief headquarters, and realize on-site personnel scheduling, on-site data transmission, and other functions, to promote emergency rescue work. This can provide valuable time and first-hand information for the rescue, so as to save more lives. With the frequent occurrence of natural disasters and the tightening of the international security situation, countries all over the world are strengthening and improving the construction of emergency communication systems and related technology research, and striving to deploy a more reliable and stable emergency communication network.
Emergency communication [8,9,10] refers to the communication means and methods needed for the extensive use of various communication resources to support rescues, including emergency rescues, and the necessary communication in the case of natural or manufactured emergencies. Because of the characteristics of disasters, making effective use of limited resources to provide the best communication services is a key problem. Unlike the traditional communication network, the emergency communication network is a complex network, and enables the implementation of emergency rescue activities and provides the primary conditions for the realization of emergency rescue functions. Its network structure has a significant impact on rescue efficiency. In different emergency situations, the demand for emergency communication is different, and the technical means used are different. Emergency communication mainly has the following characteristics: uncertainty of time and place; uncertainty of capacity demand; high degree of timeliness of the emergency communication; complexity of the environment; uncertainty of the degree of damage to the communication network itself; and diversification of information.
In the case of damage to public communication network facilities, and a sudden decrease in performance and increase in traffic volume, it is necessary to use a combination of unconventional and multi-communication means to restore communication capability. The important characteristics of emergency communication networks [11] are shown below:
  • Ability to work during both a disaster situation and at times of normality;
  • Dynamic expansion of the network to provide more coverage;
  • Accurately transmit disaster information and provide comprehensive services;
  • Have high reliability, high redundancy, high safety, and high anti-interference capabilities.
An emergency communication system comprises the integration and application of various communication technologies and approaches in an emergency. Therefore, the emergency communication system should make full use of mature communication technologies and network equipment, and integrate them into an extensible and reliable secure communication network. Generally, the emergency communication network uses the existing fixed wire network, the mobile cellular network [12], the Internet, and other public communication networks. Private communication networks, such as trunking communication networks [13], satellite communication networks [14,15], and short-wave communication networks [16,17,18,19], will also be used. In addition, public media networks are also used, such as radio, television, and newspapers, as well as on-site monitoring and rescue networks, such as sensor networks [20] and ad hoc networks [21,22,23,24].
An emergency communication network is a heterogeneous network involving a variety of communication technologies, and its composition is diverse and dynamic. In recent years, through the study of public events and natural disasters, it has been found that the emergency communication platform needs to use the existing public networks or private networks to communicate [25,26,27], and the communication between rescue units at all levels needs to be interconnected. In order to solve the intercommunication problem of various emergency communication platforms, China proposed an integrated communication system based on the Internet protocol for the construction of a post-disaster emergency rescue communication platform [28,29,30]. Some researchers have proposed an interconnected communication solution that integrates satellite communication, 4G, and mesh technologies [31,32]. At present, the emergency wireless private network is also evolving into the Professional Digital Trunking (PDT) narrowband digital cluster and B-TrunC broadband cluster private network. In addition, multi-system converged communication technologies such as fixed-mobile integration, narrowband convergence, and public-private network complementarity have also been proposed. In view of the characteristics of the 5G communication network, such as high rate, high reliability, low delay, and low power consumption, as well as the rapid development of networking technology [33], the integration of wireless ad hoc networking technology and 5G communication technology has gradually entered the field of emergency communication [34,35]. The future emergency network will develop in the direction of integration, popularization, lower cost, mobile Internet integration, and space-air-ground-sea integrated networks [36,37]. The new generation of emergency communication systems should integrate a variety of communication technologies, and ensure timely, efficient, and safe emergency communication services for rescue and disaster relief, major activities, and other work.
Several survey articles in the literature consider issues related to the emergency communication network. Junbo Wang et al. [38] investigated the existing emergency communication networks and big data analysis from the perspective of content and space. F. Pervez et al. [39] conducted a detailed investigation of wireless emergency response systems. K. Ali et al. [40] reviewed various potential emerging communication technologies, such as Internet of Things (IoT), Device-to-Device (D2D) communication, Vehicle Network, Cloud and Fog Computing, Unmanned Aerial Vehicles (UAVs), and Wireless Sensor Networks (WSNs) in disaster situations. Lei Du et al. [41] systematically summarized the disaster emergency management network. Sanjoy Debnath et al. [42] outlined various existing technologies and the latest progress in the field of emergency communication technology. By investigating mobile ad hoc networks, Anjum et al. [43] provided the classification of communication strategies for mobile ad hoc networks in disasters and emergencies. Abhishek Sharma et al. [44] investigated the communication and network technology of UAVs. Vasani Yash Kishorbhai et al. [45] conducted a detailed investigation of Always-On Networks (AONs) and outlined AONs for emergency communication.
Whenever natural or man-made disasters occur, the main communication infrastructure is usually overloaded and suffers partial or total failure. Therefore, it is crucial to create a reliable emergency network to ensure adequate coverage. At present, there are many proposals relating to emergency communication technology, and countries all over the world are also strengthening and improving the construction of emergency communication systems and their research into related technologies. Based on this situation, this paper summarizes the issues related to emergency communication networks and widely discusses the various technologies used in emergency communication networks. The key issues addressed are as follows:
  • What is the key technology of emergency communication networks?
  • What is the importance of emergency communication networks?
  • What are the main advantages of emergency communication networks compared with traditional networks?
  • What are the limitations of emergency communication networks?
  • What progress has been made in the research into emergency communication network?
This paper presents extensive research into emergency communication technology, including satellite networks, ad hoc networks, cellular networks, and wireless private networks, and analyzes the networks currently used in emergency rescue and the future development direction of emergency communication networks.

2. Materials and Methods

A systematic literature review was conducted by following a well-defined process to retrieve articles most relevant to this research’s scope. Our goal was to study the emergency communication network following the five main stages of the systematic mapping process, which was proposed by Yli-Huumo J [46]. The first stage was analysis of the key research problems and determining the relevant research direction by identifying the key research problems. The second stage was article retrieval; by narrowing the scope of the search engines, all the literature related to the research topic on the online resources was searched. These search engines included China National Knowledge Infrastructure (CNKI), Springer Link, Web of Science, Elsevier ScienceDirect, and IEEE Xplore, which were used for the extraction of high impact factor papers. The keywords and strings related to the research topic for a semantic search were used to retrieve the articles most closely related to the research problem. For this purpose, several groups of keywords were formulated, namely emergency communication network, wireless communication, satellite network, cellular network, broadband cluster network, and ad hoc network. The third stage was screening of all relevant papers according to the title, selection of the literature related to the research direction, and exclusion of the literature with low content quality. The fourth stage was content analysis after reading the retrieved articles. By reading abstracts and keywords to determine their relevance to the current research topic, articles irrelevant to the research direction were deleted. The last stage was classification and collection of all the required information, and classification of the retrieved articles.

3. Review of Emergency Communication Networks

3.1. Network Classification

Emergency communication networks provide timely and effective communication support for all kinds of emergencies, and are an essential part of the comprehensive emergency support system. For any country, the establishment of effective emergency communication based on the disaster communication backbone is an important component of disaster relief. Emergency communication networks are divided into different categories according to different standards. The commonly used classification standards are as follows:
  • According to the transmission medium, networks can be divided into wired communication networks and wireless communication networks.
Wired communication networks use wired transmission media in the form of communication. The common forms of communication are fixed telephone communication, telephone line/network cable access to the Internet, and optical fiber communication. Wireless communication networks use wireless transmission media. Common communication forms include microwave communication, mobile communication, and satellite communication.
  • According to the attributes, networks can be divided into public networks and private networks.
A public network is a network operated and managed by operators, and connects each private network and user terminal through a public user network interface. A private network refers to a network within a unit or department. At present, private networks mainly use ethernet, Asynchronous Transfer Mode (ATM), and various wireless technologies.
  • According to geographical classification, networks can be divided into local area networks (LANs), metropolitan area network (MANs), and wide area network (WANs).
A LAN is a communication network having a distribution ranging from hundreds of meters to several kilometers. The transmission coverage area of a MAN is mainly within cities, with a distribution area ranging from hundreds to dozens of kilometers. The transmission coverage area of a WAN includes provinces, countries, and even the world, and ranges from hundreds to tens of thousands of kilometers.
This section analyzes the existing emergency communication network technologies that are mainly used at present: satellite communication [47,48,49], wireless ad hoc networks [50,51], cellular communication [26,52], and wireless private networks [53,54,55].

3.1.1. Satellite Networks

Satellite communication technology is a method of communication between two or more Earth stations using artificial Earth satellites as relay stations to forward radio waves. Satellite communication systems are usually classified according to the satellite orbit altitude, and can be divided into geosynchronous Earth orbit (GEO) satellites, medium Earth orbit (MEO) satellites, and low Earth orbit (LEO) satellites. The characteristics of different satellite communication systems are shown in Table 1.
GEO satellites cover a wide range, with a single satellite covering up to 42% of the Earth’s area. GEO satellite mobile communication systems include the North American satellite mobile communication system (MSAT) and the International Maritime Satellite (Inmarsat) system. At present, GEO satellites are being developed towards the direction of high throughput, which can improve the utilization rate of the satellite frequency and data throughput by utilizing the rich spectrum resources of the Ka band and frequency reuse technology. MEO satellites cover a much smaller area than GEO satellites, and are mainly used to provide satellite Internet access services with high bandwidth, low cost, and low delay. MEO satellite mobile communication systems mainly include Inmarsat-P, Odyssey, MAGSS-14, and BeiDou positioning system. LEO satellites have low cost and small coverage per satellite. The current development trend of the LEO satellite is for miniaturization, low cost, and more intensive networking. Miniaturization and lightweight design can reduce the manufacturing and transmission costs, provide greater system throughput through intensive networking, and dynamically allocate the power and bandwidth to each beam using beam forming and beam shaping functions, so as to maximize the performance and reduce the interference in high orbit satellites.
The satellite communication system is mainly composed of space, ground, and user segments, as shown in Figure 1. Space segment: with communication satellites as the main body, used for receiving and forwarding signals from satellite communication Earth stations, to achieve communication between Earth stations or between Earth stations and spacecraft. Ground segment: including satellite transponder, gateway station, Satellite Control Center (SCC), and Tracking, Telemetry, and Command station (TT&C), to realize communication between users. User segment: mainly composed of various terminal user devices, including Very Small Antenna Terminal (VSAT) stations, handheld terminals, and mobile terminals mounted on cars, ships, and planes, as well as various applications and services based on satellite communication.
With the development of satellite communication technology, Earth observation satellite remote sensing technology has been extended. This technology uses the visible light, infrared, and microwave sensors built on satellites to detect and identify the Earth’s resources and environmental information by collecting the electromagnetic radiation data of the Earth’s surface and near-Earth space. At present, this technology has been widely used in many fields, such as land natural resources surveys, marine ecological environment protection, and meteorological disaster prediction. NISAR is a “dual-frequency” synthetic aperture radar imaging satellite built by the National Aeronautics and Space Administration (NASA) and Indian Space Research Organization (ISRO). Its primary purpose is to spot potential natural disasters, help monitor groundwater supply, track ice sheet melting rates associated with sea level rise, and observe changes in the distribution of vegetation around the world. With the rapid increase in the number of remote sensing satellite platforms, snow monitoring using remote sensing satellites has been widely used. Tsai et al. [56] used spaceborne SAR to detect the snow cover area so as to better understand global snow cover dynamics. Haiwei Qiao et al. [57] proposed a snow cover recognition method based on FY-4A AGRI geostationary satellite data, which can accurately and effectively identify snow cover phenomena. Muhuri et al. [58] used satellite sensors to monitor the snow coverage of the Himalayas; these sensors enable timely detection of snow cover and snow melt, and prediction of the occurrence of avalanches, floods, and other natural disasters.
Satellite communication has the advantages of not being limited by ground conditions and having a wide range of communication coverage, large capacity, high reliability, long transmission distance, independent communication ability, and strong resistance to damage, which makes it very suitable for emergency communications. Ran et al. [59] thoroughly analyzed the usefulness of satellite communications after a disaster. Iapichino et al. [60] proposed a satellite-based hybrid network, in which the ground network and satellite network were mixed on a mesh wireless communication protocol platform. Xiaofan Xu et al. [61] proposed a functional architecture and network architecture of the fusion of satellite communication and ground mobile communication based on the 5G core network. Pecorella et al. [62] described in detail an emergency network based on satellite communication, which uses two-way satellite links for reliable communication. M.Cason et al. [63] proposed a network architecture based on the integration of satellite and the Long-Term Evolution (LTE) network, which provides LTE to disaster areas through the satellite return trip and is applicable to various scenarios. Despite the huge advantages of satellite communication, there are limitations to its use. Satellite communication networks require a large investment, have a relatively low transmission rate, limited capacity, and high use cost, and are only suitable for communication in extreme emergencies.

3.1.2. Ad Hoc Networks

In 1991, IEEE formally put forward the term “ad hoc network” [64]. Ad hoc network technology adopts a “peer-to-peer structure” mobile communication mode without a base station. Compared with other network forms, an ad hoc network is a special mobile communication network that can be quickly networked without the prerequisite of relevant infrastructure presetting. Ad hoc networks are characterized by high destructibility, self-healing, and self-organization, and are especially suitable for communication during temporary or sudden emergency events. On an ad hoc basis, a variety of networks have been extended: Wireless Mesh Network (WMN) [65,66], Wireless Ad Hoc Network (MANET) [54], Vehicular Ad Hoc Network (VANET) [67], Fly Ad Hoc Network (FANET) [68,69], and Sea Ad Hoc Network (SANET). Each network is described below.
  • Wireless Mesh Network (WMN)
WMN [70] is a new network product based on the development of wireless networks and the extension of the ad hoc network. Its network architecture is shown in Figure 2. The main advantages of WMN are:
  • WMN is a multi-hop network that automatically selects the best path to avoid communication failure due to obstacles, so as to provide service transmission capability for users who are not within line-of-sight range.
  • WMN has flexible and diverse networking modes, supports dynamic topology networking, provides effective networking capabilities for application scenarios with high mobility requirements, ensures the quality of connectivity among users, and expands network coverage.
  • WMN is capable of self-organizing, self-healing, and self-balancing, with strong network reliability.
WMN is basically similar to MANET in terms of connectivity and operation, except for the design and application scenarios of routing protocols. Suzuki et al. [71] proposed SKYMESH, a Wi-Fi-based mesh network that can provide Internet to disaster-affected areas. Kanchanasu et al. [72] used MANET, WMN, and World Interoperability for Microwave Access (WiMAX) to form a mesh network and expand the service area through satellite communication links. Ray et al. [73] adopted the WMN solution in post-disaster communication to reduce losses. At present, most WMN networking technologies use Coded Orthogonal Frequency Division Multiplexing (COFDM) modulation and characteristic beam technology, which can solve the problem of channel selective fading and channel flatness fading in a multi-path environment. After adopting a Multiple-Input Multiple-Output (MIMO) antenna, high-order modulation, and other technologies, the transmission rate can reach nearly 100 Mbps.
As a new form of wireless self-organizing network, WMN can not only effectively combine with emergency communication modes such as satellites and short-wave, but also be used as the extension of mobile communication networks such as 4G and metropolitan area networks such as Wireless Personal Area Networks (WPANs) to provide more extensive wireless access coverage and comprehensively improve the quality of emergency communication. WMN is mainly used in mine emergency rescue. In recent years, it has also been more widely used in terms of fire protection [74,75] and earthquake and other disasters.
2.
Mobile Ad Hoc Network (MANET)
MANET is a new type of broadband WMN based on ad hoc networking mode. Its structure is shown in Figure 3. MANET makes use of the routing and forwarding function of mobile terminals to communicate without infrastructure, thus compensating for the lack of network communication infrastructure available. The features of MANET are:
  • MANET is a distributed, multi-hop relay wireless broadband system without a center, and provides dynamic routing, strong damage resistance, and good scalability. Its network topology changes dynamically, and it internally uses its own routing protocol to complete wireless communication among nodes through wireless multi-hop forwarding.
  • MANET has the advantages of having a low deployment and maintenance cost, large coverage, high rate, strong network robustness and adaptability, and link self-sensing and self-healing. It can not only exist as an independent wireless self-organizing network, but also serve as an effective supplement and expansion of an existing heterogeneous network system.
  • MANET can be widely used in military communication private networks, public security private networks, emergency communication private networks, regional broadband private networks, and wireless monitoring private networks.
Due to its significant advantages, MANET is widely used in emergency communications in order to provide effective communications during natural disasters. For example, Chen et al. [76] developed a hybrid MANET topology with the advantages of fast deployment, simple configuration, and convenient interoperability. The proposed solution can provide network access for post-earthquake emergency rescue services to meet the communication requirements of rescue work. Z.lu et al. [77] designed and implemented a system named TeamPhone, which consists of two components, namely, a message system and a self-rescue system. The message system integrates cellular networks, ad hoc networks, and a self-rescue systems group, and locates the smart phones of trapped survivors. The TeamPhone system can send emergency messages and provide their location information to assist rescue operations. Kim et al. [78] designed disaster communication network management software combining MANET and a wireless local area network (WLAN). MANET can be widely used in environments where wired networks cannot be supported or where communication is temporarily required. The problems faced by MANET include:
  • Wireless transmission bandwidth is limited, and signal fading and noise interference exist;
  • Poor security and the wireless link makes the network vulnerable to link layer attacks;
  • Without centralized nodes, it is difficult to connect with external systems;
  • Limitations of mobile terminals: mobile terminals in MANET have the advantages of dexterity and good mobility, but are limited by their power supply, small memory, and low CPU performance.
3.
Vehicular Ad Hoc Network (VANET)
VANET is a new mobile ad hoc network created by applying the principles of MANET to vehicles. VANET is composed of self-organizing vehicles as mobile nodes, and the communication between nodes can be divided into vehicle-to-vehicle (V2V), vehicle-to-roadside (V2R), and vehicle-to-infrastructure (V2I). Its network structure is shown in Figure 4. VANET is a wireless communication technology that can be deployed quickly, which simplifies data exchange between vehicles and provides a variety of data services [79]. VANET is expected to enter the application field of disaster communication due to its features of connecting emergency vehicles and road navigation.
VANET has its own unique characteristics compared to other types of networks, which include: predictable mobility; provision of safe driving and enhancement of passenger comfort and traffic efficiency; lack of power limitation; variable network density; rapid changes in network topology; unlimited network size; and high computing power.
In recent years, as automotive technology has advanced, VANET has played an important role in saving drivers’ lives and property by disseminating critical incident information. The important purpose of VANET architecture is to provide efficient and effective emergency and warning alerts for vehicles, so that vehicles can make appropriate decisions without delay to safeguard passenger safety [80]. Milton Joe et al. [81] proposed a real-time emergency warning model, based on Android applications, which provided efficient and safe driving for vehicles while establishing a reliable VANET. High-speed movement of vehicle nodes and rapid changes in network topology in VANET result in severe challenges to the design of the network architecture and related protocols. From a technical perspective, the main challenges of VANET are as follows:
  • Signal attenuation: objects placed between two communication vehicles as obstacles are one of the challenges that affect VANET efficiency;
  • Bandwidth limitation: VANET has no central coordinator to control the communication between nodes;
  • Connectivity: due to the high mobility and rapid change in the topology, fragmentation often occurs in the network;
  • Small effective diameter: due to the small effective network diameter of VANET, the communication connectivity between nodes is weak.
4.
Fly Ad Hoc Network (FANET)
FANET is a self-organizing wireless network that enables communication between flying nodes, such as UAVs, without a fixed network infrastructure, making it low cost, flexible, and easy to deploy. FANET can be regarded as an extended paradigm of MANET, realizing communication between UAVs and between UAVs and control stations. FANET not only has the inherent characteristics of a wireless ad hoc network, such as multiple hops, self-organization, and centrality, but also has some functions related to UAVs, such as the rapid change in network topology caused by high-speed moving nodes, sparsity of network nodes and network heterogeneity, network node peers, and data relay capability. UAVs have potential advantages in wireless communications because they can transfer data from the air to one or more ground stations [82], so they can be widely used in disaster areas where communications are completely shut down due to an unexpected disaster. As shown in Figure 5a, there are four types of links between UAVs and different radio facilities (e.g., FANET base station, cellular base station, and satellite) in the ad hoc network.
FANET can be composed of a control center, sensing system, satellite communication system, and UAV swarm, as shown in Figure 5b. The control center can be an air or ground command center to send control messages to the UAV swarm. The sensor system encompasses the ground and air, mainly by the radar system, which is responsible for collecting status information from the ground or UAV. The control center uses a mobile ad hoc network to issue instructions to the UAV swarm, and after the drone bees perform corresponding tasks, the working status and movement information is fed back to the control center through the sensor system. FANET can be used in a variety of environments, ranging from civilian to military, because of its robustness, adaptability, low operating cost, and ease of construction [83]. These applications include precise geographic positioning, search and rescue missions [84], intelligent transportation systems, target detection, disaster tracking and monitoring, and forest fire prevention.
5.
Sea Ad Hoc Network (SANET)
SANET is a wireless multi-hop network composed of nodes (e.g., ships, offshore buoys, and beacons). As shown in Figure 6, connections can be established between these nodes, or with coastal base stations and satellites [85,86]. SANET has characteristics that are similar to those of other wireless networks: composition made up of mobile nodes; high processing capacity; no energy restrictions; and high data storage capacity. However, there are some differences in many areas, such as power consumption, topology, speed, and deployment changes.
SANET can be used for maritime communications, navigation, and emergency response. The challenges of SANET include:
  • Quality of Service (QoS): maintaining the best forwarding quality of service is important because it involves certain requirements, latency, throughput, and packet error rates associated with the application.
  • Security: confidentiality and integrity are important for information transmission.
  • Scalability: the most important step in achieving effective ship communication is to ensure a stable routing mechanism on SANET. Due to the variation in ship mobility and network topology, the routing path is often interrupted, so it is difficult to ensure its stability.
  • Routing protocol: has large end-to-end latency and reduced packet delivery rate.
6.
Comparison with other ad hoc networks
Ad hoc networks are also known as infrastructure-free networks, non-central networks, multi-hop networks, and self-organizing wireless networks. Ad hoc networks have no fixed infrastructure, and their nodes can be vehicles, mobile devices, aircraft, and ships, which can dynamically maintain contact with other nodes in any way. Ad hoc networks include MANET, VANET, FANET, and SANET. VANET is a subset of MANET, FANET is a subset of VANET, and SANET is a popular type of self-organizing network. Table 2 summarizes the differences between different ad hoc wireless networks. An ad hoc network is an ad hoc wireless network composed of communication nodes that do not depend on the infrastructure, in which each node can act as a host and router. Ad hoc networks have been gradually applied to many key scenarios, such as emergency communication, rescue and disaster relief, and expanding the coverage of existing cellular networks, due to their fast network speed and robustness. Therefore, ad hoc networks are an important part of next-generation wireless communication network systems.

3.1.3. Cellular Networks

Cellular mobile communication adopts cellular wireless networking mode to connect terminals and network devices through wireless channels, so as to realize mutual communication between users. After developing the 1G, 2G, 3G, and 4G technologies, cellular mobile communication technology has entered the 5G era, and the development vision of 6G was proposed at the same time [87,88,89,90]. The development trend from 1G to 6G is shown in Figure 7. Modern mobile communication technology can be mainly divided into low frequency, medium frequency, high frequency, VHF, and UHF frequency bands. In these bands, technicians can connect terminal devices in the mobile communication network, using mobile station technology, base station technology, and mobile switching technology to meet people’s mobile communication needs. In emergency communication networks, the most significant advantage of mobile communication technology is the large communication distance, wide coverage area, and low cost. However, in the case of major natural disasters and public safety accidents, the public communication network may be interrupted and unavailable, and seriously affect the rescue effect.
With the advent of MIMO technology and D2D communication, 5G is widely used in disaster management. 5G networks will integrate a variety of promising technologies, such as software-defined networks (SDN), software-defined wireless sensor networks (SD-WSN), coordinated multi-point processing (CoMP), MIMO, network function virtualization (NFV), and centralized radio access networks (CRANs) [91]. D2D communication in cellular networks supports direct communication between near-end mobile devices without the need for base stations (BSs) and core networks, and can be used to extend network coverage and enable infrastructure free connectivity. Therefore, D2D communication has become an indispensable candidate technology for next-generation wireless networks and an effective alternative to cellular communication during a disaster.
Because of their effectiveness, hybrid networks consisting of existing cellular networks and D2D networks are popular in disaster recovery. Ruengsatra et al. [92] proposed a hybrid network based on D2D and a ground infrastructure system. Fodor et al. [93] proposed a cluster-centered D2D network structure, which is based on cellular and ad hoc networks, and uses D2D communication as the LTE underlying network to obtain hop gain. KamranAli et al. [11] integrated clustering technology with D2D communication into a cellular network so that communication services could be maintained if parts of the cellular infrastructure become dysfunctional. As part of the auxiliary network of emergency communication, UAVs meet the urgent needs of public security services. Xiaohui Zhou et al. [94] discussed the use of UAVs to broadcast an emergency alarm through a D2D-assisted multi-hop network, and established a multi-hop multi-cast D2D auxiliary network to broadcast emergency information to victims. Thomas et al. [95] designed a framework called Finding Isolated Nodes Using D2D for Emergency Response (FINDER) to locate and reconnect isolated mobile nodes (MNs) in disaster areas, so as to avoid damage to assets and loss of life.
Currently, 5G wireless communication networks are being deployed worldwide. However, in 2030 and beyond, 5G will not be able to meet all future requirements, and 6G wireless communication networks are expected to provide global coverage. Compared with 5G networks, 6G wireless communication networks are expected to provide higher spectrum/energy/cost efficiency, higher data rate, lower delay, and sub-centimeter geographic positioning accuracy.

3.1.4. Wireless Private Networks

In the case of natural disasters and public security and other emergencies, due to the interruption of public communication networks or the inability to use public communication networks because of security reasons, it is often necessary to restore or supplement on-site communication in a short time using private networks. According to the technology used, emergency private wireless networks can be divided into five stages, namely, analogue cluster/conventional, narrowband digital cluster/conventional, 3G cluster, 4G broadband cluster, and 5G evolution. With digital wireless communication technology, digital cluster and conventional digital technology have been developed rapidly. PDT in China, Tetra and Digital Mobile Radio (DMR) in Europe, and P25 technology in the United States represent the narrowband digital cluster. As public network communication is evolving from 4G to 5G, digital cluster private networks are also gradually evolving in the direction of broadband multimedia [96]. 5G applications in the emergency industry will use 5G and artificial intelligence (AI) as the main approach and vigorously develop related applications.
Wireless private networks, represented by digital trunking wireless communication systems, have the characteristics of high confidentiality, high reliability, and low service cost. They are mainly used in specific fields such as public security, fire protection, rescue services, and the petrochemical industry. Private network mobile communication systems include interphones, non-central digital systems, and trunking communication systems. An interphone is a two-way communication tool that is suitable for real-time communication, emergency dispatching, and collective cooperation. If natural disasters destroy the public network infrastructure, thereby preventing communication, the role of interphones will be more obvious. A trunked mobile system is a special dispatching communication system that is part of the advanced development stage of the private radio dispatching network. The system can dynamically, automatically, quickly, and optimally distribute the limited channels to all users of the system, so as to make maximum use of the channel frequency resources of the whole system. To date, an 800 MHz wireless trunking mobile communication system has been gradually established in various cities in China. Trunked mobile communication networks can be divided into two types: Public Access Mobile Radio (PAMR) networks and Private Mobile Radio (PMR) networks. To date, the commonly used standards in digital private communication include DMR, Digital Private Mobile Radio (DPMR), and PDT. The DMR standard adopts Time Division Multiple Access (TDMA) technology, supports single call, full call, group call, and selective call modes, and also supports direct mode communication without a base station. DPMA is a narrowband (6.25 KHz) Frequency Division Multiple Access (FDMA) technology that can provide various forms of voice/data applications. The PDT standard adopts TDMA multiple access mode and is based on the Chinese public security market. It not only supports low-cost single base station system communication, but can also achieve efficient regional coverage. While satisfying basic business requirements, it also adds innovative functions such as simulcast and dynamic frequency resource management. In earthquakes, wind disasters, fires, and other emergency events, the private communication network can quickly access the rescue dispatching platform, to realize flexible networking, efficient command and dispatching, high-quality voice and data transmission, and other functions.
LTE is a long-term evolution technology based on 3GPP. LTE networking has the following advantages: it has a fast wireless network communication rate and high throughput, which can provide strong support for extensive services; with a slight delay, it can meet most application scenarios having high real-time requirements; and the LTE base station can be conveniently deployed and used to supplement the existing wireless communication infrastructure [97]. LTE is mainly applied in private networks, such as for emergency communication, smart construction sites, and forest fire prevention. In critical areas, the 4G-LTE broadband cluster is used for signal coverage, and the high bandwidth of the LTE system is used to realize video and high-speed data interaction and other services.
In recent years, 4G-LTE and 5G technologies have been increasingly used in search and rescue work in disaster areas. Chandrasekharan et al. [98] designed an Aerial Base Station (AeNB) based on an LTE advanced network that could communicate with tethered balloons providing LTE payloads. The representative technology of the 4G broadband cluster is the B-TrunC standard, which has the characteristics of flexible bandwidth, high spectral efficiency, low delay, and high reliability, and meets the requirements of critical voice communication, positioning, multimedia information, real-time video, large bandwidth data, and multimedia command and scheduling. Al-hilfi et al. [99] proposed a communication system that integrates WiMAX and Wi-Fi, which can restore communication services in emergencies such as floods and other disaster scenarios.
With the development of the private network industry, especially in the field of public security, the evolution of private network communication based on LTE technology has become a general trend. However, for a long time in the future, private network broadband clusters will be influenced and limited by spectrum policy, technical standard maturity, network security and reliability, user cost, and many other factors. Therefore, the popularization of broadband cluster technology cannot be achieved overnight. It is necessary to integrate broadband and narrowband technology according to the actual situation, and finally transition to PDT + LTE mode. The PDT cluster private network provides emergency voice services, while the LTE public network provides data services. The PDT narrowband private network is the most economical and efficient way for private network users to evolve to broadband to supplement image, video, and high-speed data transmission capabilities through the LTE public network.

3.1.5. Comparison of Different Networks

As shown in Table 3, each emergency communication network technology has its advantages and disadvantages. Satellite communication systems have the advantages of wide frequency band, large communication capacity, low bit error rate, flexible networking, high communication quality, and wide coverage. However, the capacity of satellite communication is limited, the cost is high, and there are communication blind spots. Ad hoc networks have the advantages of flexible networking modes, wide network coverage, self-organization, self-healing, self-balancing, high network reliability, and high scalability. However, ad hoc networks also have disadvantages, such as poor security, limited bandwidth capacity, poor network scalability, and short lifetime. Cellular mobile communication technology has an unlimited communication distance, wide coverage area, and low cost, but its network is unstable and vulnerable to interference. Wireless private network communication technology has high reliability and high security, but its cost is high and communication capacity is small. As a result, in the field of emergency communications, various networks should be used together as complements and cooperate to better accomplish more complex communication tasks.

3.2. Summary of Network Development Status

The emergency communication network is a heterogeneous network involving multiple communication technologies. According to the time, place, and damage degree of the infrastructure network, its network composition is uncertain, diverse, and dynamic. Traditional emergency communication is mainly based on satellite communication, cluster communication, and ad hoc networks. With the emergence of broadband, wireless, heterogeneous, and other new technologies, emergency communication has led to faster, more convenient, and more robust solutions. In this section, the applications of 370M narrowband private networks, mobile satellite communication networks, hybrid networks, and 5G communication networks are introduced.

3.2.1. 370M Narrowband Private Networks

The 370M narrowband private network was the first narrowband wireless communication network used for emergency command in China. When major disasters occur, there are often “three noes”, of no power, no network, and no road. In this case, the narrowband private wireless network significantly improves the capability of ensuring communication. China adopted the domestic PDT standard with independent intellectual property rights to build a 370M emergency command wireless communication network, as well as a public network cluster and emergency communication equipment at the rescue site, to meet the demand of daily wireless command scheduling and sudden emergency communication, and finally connect the 370M PDT communication system of the national emergency management department to the Internet. The PDT communication system is deployed as a combination of fixed and mobile networks, with mobile base stations as the main part and fixed base stations as the auxiliary for digital cluster networking. It can be applied in fire protection, earthquake, and other fields to provide communication support for emergency rescue.
According to communication scenarios and regions, emergency management communication mainly includes two layers: the 370M PDT digital cluster system and the field emergency communication system. The overall network structure is shown in Figure 8. The 370M PDT digital cluster system includes a PDT + LTE broadband-narrowband fusion core network, a fixed base station, a mobile base station, an integrated command and dispatching center, a site emergency communication system, and terminal equipment. The characteristics of the whole communication system are: mobile is the main network and fixed is the auxiliary network; the mobile vehicle-mounted PDT cluster station is closely combined with the fixed PDT broadcast network; the PDT private network, LTE private network, and public network clusters are interconnected and provide unified scheduling. Functionally, the system realizes the integration from traditional voice communication to voice, data, and multimedia. Technically, it realizes the integration of broadband, narrowband, Internet of Things, wired, and wireless communication. The network structure also realizes the integration of satellite networks, public networks, and private networks. At present, China’s emergency management departments are building 370M PDT emergency private network clusters in an orderly manner, but there are also some challenges, mainly including:
  • Interconnecting the 370M PDT wireless cluster private network with the existing analog cluster.
  • Connecting the 370M PDT wireless cluster private network to the completed emergency command and dispatching network.

3.2.2. Mobile Satellite Networks

The International Telecommunications Union (ITU) divides satellite communication services into three categories: fixed-satellite service (FSS), mobile satellite service (MSS), and broadcasting satellite service (BSS). The traditional emergency satellite communication is mainly an FSS system, which uses a C/Ku high orbit satellite to construct the VSAT satellite communication system. However, in recent years, the MSS system has played an increasingly important role in major natural disasters, especially within 72 h of the disaster. When the ground network cannot be used, the rescue organization needs to use the MSS system to understand the real-time messages in the disaster area, so as to organize effective rescue activities.
At present, most communication satellites in the world are mainly GEO satellites, which have wide coverage and a relatively stable location. However, with the increasingly crowded orbital space and the development of cellular communication, multiple access, spot beam, and other small satellite technologies, LEO satellites have gradually been application in space-based communication systems; these satellites have short transmission delay, small path loss, and more effective frequency reuse. A number of countries have successively launched large-scale LEO satellite systems. The main foreign satellite communication systems are shown in Table 4, and the main domestic satellite communication systems are shown in Table 5.
Inmarsat was the first global mobile service satellite communication system in the world. The user link uses the L-band to provide low speed digital voice, data communication, facsimile, and telegraphy services. Inmarsat’s first to fourth generation satellite user links all adopted the L-band, while the Inmarsat fifth-generation satellites use the Ka-band, based on DVB-S2 technology, and support broadband services having uplink of 5 Mbit/s and downlink of 50 Mbit/s [100].
Iridium utilizes on-board processing, on-board switching, and interplanetary link technologies, and uses TDMA multiple access for direct communication between handheld terminals and satellites, providing users with voice, data, paging, fax, and other services. “Iridium NEXT” mainly aims at IP broadband networking and the scalability and upgrading of load capacity, which will enable it to meet the complex needs of future spatial information applications.
Starlink adopts a new connection protocol that is more lightweight than IPv6 and supports P2P. It is a decentralized network similar to blockchain. Satellites can accurately understand the longitude and latitude of each user’s physical location and reasonably distribute their data links. Starlink’s second generation system will employ inter-satellite laser links to provide seamless network management and service continuity. Starlink users access the Internet by converting the satellite signal into a Wi-Fi signal through a Wi-Fi router.
The Oneweb system has set up more than 50 gateway stations around the world, and its user link adopts the Ku-band. The user terminal can be used as a local Internet access point, and users can access the Internet through 3G, LTE, Wi-Fi, or satellite links.
The BeiDou satellite system is an active satellite positioning and communication system independently developed by China. It is the third satellite navigation system covering the world after the Global Positioning System (GPS) of the United States and the Global Navigation Satellite System (GLONASS) of Russia. BeiDou satellites can not only provide rapid positioning and timing services for ground users worldwide, but also enable short digital message communication, which is one of the means of ensuring communication in an emergency.
The Hongyan global satellite constellation communication system is planned to be composed of 300 low orbit small satellites and a global data service processing center, with all-time two-way communication capability under complex terrain conditions. It will provide users with global real-time data communication and comprehensive information services. The Hongyan constellation will integrate a number of satellite application functions. Its satellite data acquisition function can realize large-scale regional information collection and meet the needs of monitoring data information transmission in the fields of oceanography, meteorology, transportation, environmental protection, geology, and disaster prevention and reduction. According to the existing information, it is expected that the system will include a communication network of 60 artificial satellites by 2023. By 2025, the second phase will be completed, and a mobile satellite communication and network access system having space-air-ground-sea integration will be built.
The Hongyun project is a “star chain plan” independently developed by China. It is expected that 156 satellites will be launched into orbit 1000 km above the ground. The project is committed to building a satellite-borne broadband global mobile Internet that can provide integrated services for communication, navigation, and remote sensing for all types of users around the world. Because of its extremely low communication delay, extremely high frequency reuse rate, and real global coverage, the Hongyun project can meet the needs of China, underdeveloped Internet areas, and large-scale user units to share broadband Internet access. At the same time, it can also meet the application requirements of high real-time information interaction, such as in emergency communication, sensor data acquisition, industrial Internet of Things, and remote control of unmanned equipment.
The Tiantong-1 satellite mobile communication system is a satellite mobile communication system independently developed and constructed by China. It is also an important part of China’s space information infrastructure, and solves the problem of seamless signal coverage in a particularly complex environment. The Tiantong-1 01, Tiantong-1 02, and Tiantong-1 03 satellites were successfully launched in 2016, 2020, and 2021 respectively. After the Tiantong-1 03 satellite was launched into orbit, it was networked in orbit to the Tiantong-1 01 and Tiantong-1 02 satellites. The Tiantong-1 satellite mobile communication system will achieve regional coverage in the Asia-Pacific region. It has the advantages of strong reliability, strong real-time performance, strong confidentiality, wide coverage, and long communication distance. It can provide stable and reliable voice, short message, video, and other mobile communication services, and improve the service level of satellite communication and emergency communication support capacity. The Tiantong-1 satellite system is a narrowband mobile satellite communication system. In case of natural disasters, the emergency communication capability of Tiantong-1 can play a significant role.
The BeiDou, Tiantong, broadband satellite, and ground mobile communication systems can meet the transmission requirements for low delay, large capacity, and high rate of emergency communication. The network architecture is shown in Figure 9. After a disaster, the emergency command vehicle arrives at the disaster site, and realizes data communication and relay communication with the rear emergency command center through satellite communication, ground fixed cable communication, and ground mobile communication networks. If the vehicle cannot reach the site, rescuers will carry various emergency mobile communication terminals to the disaster site, and realize point-to-point communication with the emergency command vehicle through BeiDou handheld terminals, Beidou vehicle positioning terminals, short-wave radios, and Tiantong handhelds. The transmission route of emergency mobile communication is from the frontline personnel to the emergency communication vehicle, and then to the rear command center. If no public network exists, Ku broadband satellite communication is used to realize image transmission. Tiantong handheld terminals are used to realize voice transmission and BeiDou short messages are used to realize text transmission of command and dispatch information.
To summarize, Inmarsat, Iridium, and China’s Tiantong-1 mobile satellite communication systems use 2G or 3G technology systems similar to land mobile communication systems. They also adopt FDMA/TDMA and CDMA multiple access mode, and support low-speed data and voice services. Only satellites deployed in recent years, such as Inmarsat fifth generation satellites, have begun to support broadband Internet services. Emerging LEO satellite broadband Internet constellations such as Starlink need to be equipped with special routers to convert satellite signals into Wi-Fi, microwave, and other wireless networks to realize Internet access by user terminals. The development trend of mobile satellite communication in the future will mainly include four aspects: increasing satellite antenna aperture and satellite power; multi-beam antennas will be widely used and the number of beams will increase; broadband business, IP services, and data transmission rates will be continuously improved; and the trend of integration with ground mobile communication network will increase. In the future, satellite and ground communication networks will no longer be isolated, but an integrated communication network of heaven and Earth will exist. The integration of the 5G mobile communication network and satellite communication network [101] will also become a new development direction, and the world will enter a new era of broadband Internet. In May 2020, Galaxy Aerospace launched the first 5G satellite, the “yinhe-1” broadband communication satellite. Furthermore, VestaSpace, an Indian small satellite manufacturer, unveiled plans for its own satellite 5G constellation. In addition, 3GPP, ITU, and other organizations are also updating the standard version of 5G and satellite communication. These trends and changes will provide some technical accumulation and reference for the heterogeneous network ManyNet and 6G communication networks that integrate satellite communications in the future.

3.2.3. Hybrid Networks

Emergency communication networks are typical complex networks, involving a variety of communication technologies. Their network composition is diverse and changes dynamically. As a new type of self-organizing wireless network, WMN can not only effectively combine with emergency communication methods such as satellites and short-wave, but can also be used as an extension of mobile communication networks and metropolitan area networks to provide more extensive wireless access coverage and comprehensively improve the quality of emergency communication.
At present, WMN has been applied in fire control, water conservancy and flood control, electric power rescue, railway rescue, maritime law enforcement, marine surveillance and assessment, forest fire prevention, and other fields. China Earthquake Administration [102] proposed a seismic emergency field communication system based on satellite and WMN technology. It realized the interconnection between WMN and the rear command center through a multi-hop mesh network, a satellite communication vehicle, and a rear ground fixed communication base station in the disaster area. For a coal mine emergency communication system, Guan Chao [103] proposed an underground disaster relief communication system based on WMN. The system uses the wireless mesh backbone network constructed from several mesh access points, routers, and gateways as the network architecture, and uses the underground communication function system and ground command center to realize coal mine emergency disaster relief, to meet the needs of a modern mine. Mesh and LTE hybrid networking is widely used in emergency communication because of its advantages such as flexible networking, network robustness, high wireless network bandwidth, support for non-line-of-sight communication, and large network scale. Lei Liu et al. [104] proposed a hybrid networking scheme comprising mesh and LTE networks to address current wireless network capacity shortages, spectrum resource shortages, and application requirements in a particular environment. China Telecom uses a WMN terminal mounted on a low-altitude tethering platform to relay and form a point-to-point wireless back-chain network with multi-point relay and without line-of-sight. Under 5G with high bandwidth and low delay, WMN has more technical advantages, improving the synthesis, application, and systematization. The unique advantages of the ad hoc network enable it to occupy a position in the field of emergency communication. In the future, ad hoc networks will have an ideal space for improvement in miniaturization and portability. In the application of emergency communication, the integration of mesh networks with other private network communication and satellite communication systems will also be the focus of future development. Future development will also include the integration of 5G with satellite networks [105,106,107,108], 5G with UAV integration [109,110,111], and the space-ground convergence network [112,113,114,115].
At the moment, the private network projects in the emergency communication industry are gradually shifting from narrowband digital clusters to LTE broadband clusters, and broadband-narrowband integration has also become a significant development direction. A narrowband cluster system is used for comprehensive coverage to achieve voice communication in a wide area, and the 4G-LTE broadband cluster is used to increase range in critical areas. The high bandwidth of the LTE system is utilized to realize video and high-speed data services. 4G private network communication can provide full wireless coverage in a mine, and realize the high-bandwidth wireless integration of voice, data, and video networks, providing a wireless platform for the digitization of coal mines. In view of the earthquake fieldwork, China Earthquake Administration proposed alleviating the problem of temporary communication terminals by building a 4G emergency command and dispatch system in severely affected areas, and realizing the functions of on-site personnel scheduling, real-time video transmission, and on-site data transmission by building a broadband emergency cluster private network system [116].
Narrowband networks represented by PDT and TETRA have the characteristics of low carrier frequency, good wireless transmission, strong single-station coverage ability, and high system reliability. In contrast, the broadband TrunC network based on the B-TrunC standard can provide multimedia cluster scheduling capability, including video for private network users. The broadband-narrowband fusion network architecture can integrate these complementary characteristics, and provide a more reliable task assurance in the mission-critical cluster command and emergency rescue dispatch by utilizing the multiple reliability of the multi-mode fusion network. As a result of the upgrading of broadband cluster private network technology, IoT technology and high reliability and low delay technology based on 5G characteristics will gradually enter the application field of the private network, which will lead to a brighter future for the development of broadband-narrowband converged cluster private networks.

3.2.4. 5G Networks

5G network technology [117] includes network slicing technology, ultra-dense heterogeneous network technology, and multi-access edge computing technology. In emergency rescue work, the network slicing technology can be used to realize the interconnection of various devices, thus comprehensively improving the efficiency of emergency rescue command and promoting the development of rescue work [118]. With the support of 5G network technology, all regions need to speed up the construction of emergency rescue communication equipment, especially that used for the network control center, satellite ground station, and converged communication platform. At the same time, it is also necessary to use emergency communication equipment to expand network coverage and promote the development of emergency rescue work.
Guofa Wang et al. [119] discussed the application prospect of 5G technology in coal mine intellectualization and analyzed the feasibility and necessity of intelligent application of 5G in a coal mine. Zhenlong Huo et al. [118] studied the composition and networking mode of a 5G wireless communication system for mining, and proposed the application scenario of 5G technology in coal mines. Sheng Wang et al. [120] studied a new super-intensive networking technology for emergency communication based on the 5G network as the traditional networking technology, and using data positioning technology to control network data so as to reduce the distance of the base station in the process of network construction. In view of the current 4G situation of “one network and one station” in coal mines, Qingyong Meng [121] proposed the network architecture of 4G and 5G integration in coal mines based on NSA. The network not only has the functions of continuous 4G base station coverage and wireless high-speed transmission across the whole mine, but also makes full use of the advantages of the 5G network to realize the intelligent application of 5G in underground coal mines and promote the construction of intelligent mines. Dingjiang Wei et al. [122] proposed an action plan for search and rescue using a multi-rotor UAV under a 5G communication network based on the sea surface coverage model of the 5G network. The efficiency of maritime search and rescue was greatly improved using a network communication model and a UAV-related load. Saleha. Alghamdi. [123] designed an efficient C-V2X network with 5G communication. In recent years, ZTE has also made significant progress in the research and development of ultra-high-definition network cameras for the search and rescue of lost people, 5G video conferencing terminals, and 5G integrated command platforms. In Europe, the European Commission and the European ICT industry are currently fostering 5G research and innovation across different vertical integrations through their joint 5G infrastructure.
In view of the problems faced by existing emergency communication systems, such as low rate, high delay, insufficient bandwidth, and poor interoperability, ZHONG Jianfeng et al. [124] proposed a technical route of integrating a 5G and UAV emergency communication system. Xu Bingyu et al. [125] proposed a technical route of integrating a 5G mobile communication network and a satellite communication network. In the future, the coverage of communication networks will not be limited by the surface, and the world will enter a new era of broadband Internet. SANSA proposed dynamic spectrum sharing and ground ad hoc network research for satellite and 5G network fusion. The SATis5 project was proposed in March 2017 and launched in August 2018, and is a platform designed to demonstrate, evaluate, and verify 5G + integrated satellite communication networks. In 2020, VestaSpace, an Indian company, released a satellite constellation with 5G network and IoT functions. The 5G + satellite integrated communication network will integrate the space-air-ground-sea 5G networks, provide a ubiquitous communication network with high-speed data, low delay, and low power consumption, and realize man-machine and things interconnection.
To summarize, the emergency wireless private network is evolving toward the PDT narrowband digital cluster and B-TrunC broadband cluster private networks. Currently, it is mainly based on the 370M narrowband private network, and it is developing towards multi-system convergence communication technologies such as fixed-mobile integration, broadband-narrowband integration, and public-private complementarity. In remote or extreme areas of sea, air, and ground, especially during the rescue and relief of major natural disasters, the mobile satellite communication system will be a more reliable choice. Mobile satellite communication systems can provide users with regional and even global communication services by using mobile communication satellites in high and low orbits. In view of the characteristics of high speed, high reliability, low delay, and low power consumption of 5G communication networks, and the rapid development of ad hoc network technology, the integration of ad hoc network technology, 5G communication technology, satellite communication technology, and private network technology will also be the focus of future development.

3.3. Case Study: Broadband-Narrowband Emergency Communication Command System

At present, the narrowband trunking communication system represented by PDT mainly provides voice services. Its path loss is small and it has a wide coverage, but its transmission band is narrow, and it cannot meet the demand of complex scenarios scheduling command. The broadband cluster system represented by LTE supports different multimedia services and has the advantages of high speed, large bandwidth, and resource sharing, but its coverage is limited. Therefore, the combination of high speed and large bandwidth of the broadband cluster and narrowband voice can realize resource sharing, helping users to realize multimedia command and scheduling, integrating voice, data, and video.
Aiming at the problems of the short transmission distance of existing emergency communication equipment and complex system deployment, a portable broadband-narrowband integrated emergency communication command system applied to the emergency rescue scene is proposed. The system adopts a PDT + LTE solution, and soft switch technology based on SIP realizes the unified management of broadband-narrowband cluster users, mixed calls, multimedia cluster scheduling, and other integrated services. The system topology is shown in Figure 10. The portable broadband-narrowband integration emergency command system is deployed in the forward headquarters. Adoption of the multi-link aggregation mode of the public network and LTE private network enables multimedia cluster services such as voice, video, and data.
The core equipment of the portable broadband-narrowband emergency communication command system is the switching control platform and the narrowband relay base station. The switching control platform uses a unified switching center to control the broadband and narrowband cluster access system, and provide data and signaling channels, and is responsible for the exchange, control, and transmission of data, with mobility management functions. The narrowband relay base station covers narrowband terminal signals to realize the return of voice signals and transmit the signals to the switching control platform for the next step of broadband and narrowband service integration. In view of potential network disconnection and power failure in the emergency rescue scene, the system adopts a portable LTE base station to realize the network coverage of the rescue scene and build a visual integrated command and dispatch system. The portable LTE base station integrates the base station, the core network, and the scheduling system, and has the characteristics of integration, piggyback, and rapid deployment.
In practical application, considering the networking cost and the demand for fast network layout, a more reasonable network coverage scheme can be designed by calculating the coverage scope of the LTE private network.
The high-frequency propagation curve was analyzed using the cost-231hata model. The link parameters of the base station were set, the maximum path loss allowed for the uplink and downlink was calculated, and the uplink and downlink coverage radius was obtained. The link maximum path loss (MAPL) is shown in the following:
MAPL = EIRP + G tal L tal M tal Rs
where EIRP is the effective omnidirectional radiation power at the transmitting end; G tal is the sum of the transmitting antenna gain and receiving antenna gain; L tal is the sum of human body loss, feeder loss, and penetration loss; M tal is the sum of interference margin and shadow margin; Rs is the minimum receiving sensitivity.
The link coverage radius is shown in the following:
L = 46.3 + 33.9 lg f 13.82 lg h a a ( h m ) + ( 44.9 6.55 lg h a ) lg r + C m
where f is the frequency of the electromagnetic wave; h a is the antenna height of the base station; h m is the height of the base station; r is the coverage radius of the base station; Cm is the correction factor; a(hm) is the height correction factor of the base station antenna. The specific parameter settings are shown in Table 6.
The LTE edge rate was calculated by Formulas (1) and (2). The maximum uplink loss is 125.11 dB and the maximum downlink loss is 116.13 dB, that is, the uplink coverage radius is 2.58 km and the downlink coverage radius is 4.76 km. Therefore, in order to expand the coverage area of the system, the system will adopt the “LTE + Mesh” networking scheme. This uses the portable LTE base station to realize network coverage of the rescue site, and the backpack mesh base station to transmit signals back to the front finger and rescue site. The network topology is shown in Figure 11.
In response to the needs of emergency rescue communication services, the portable broadband-narrowband integrated emergency command system was set up in Dongcun, Ziwu Town, Chang’an District, Xi’an for practical testing, and the business transmission contents, such as voice dispatch, video dispatch, short message, and picture data packets, were tested. The test results show that the maximum distance of broadband-narrowband integrated communication of portable devices is about 18.78 km. The video communication distance of the LTE private network base station is about 3.56 km, and 16 channels of video can be pulled up at the same time. According to the network bandwidth limitation, the voice communication distance of the LTE private network base station is about 7.82 km. The maximum communication distance of point-to-point networking using a piggyback mesh base station is about 11.23 km.
The system can be applied to a variety of scenarios, such as forest fire rescue, urban fire rescue, and emergency production accident rescue. Taking forest fire prevention as an example, the main rescue challenge is the signal coverage of the rescue site and the data transmission between the front and rear. Therefore, the portable broadband-narrowband integration emergency communication system can be used to realize voice, video, conference, and other services between the rescue site and the command center.

3.4. Future Development Directions

With the rapid development of network technology and information technology, future emergency networks will develop in the direction of intelligence, integration, popularization, and low cost. This will mainly introduce network intelligence and integration, and lead to the development trend of space-air-ground-sea integration networks.

3.4.1. Intelligent Networks and Integrated Networks

With the rapid development of network technology and information technology, the IoT, cloud computing, and big data have penetrated the daily applications of humans. People can use Radio Frequency Identification (RFID), sensors, monitoring, and other equipment to sense, measure, and capture potential areas of natural disasters. This allows advance deployment and quick decision making, and reduces losses caused by disasters. For example, in May 2018, when floods occurred in Maryland, the US Department of Homeland Security used automatic sensors to provide an early warning and reduce losses. In November 2018, when a forest fire broke out in California, Silvia Terra, a San Francisco based company, used AI technology to map the forest, including the density and type of trees, to identify the areas with the highest fire risk and make a plan. In response to the COVID-19 outbreak in 2019, the communication network industry made outstanding contributions to the prevention and control of the epidemic. At present, the most mature and large-scale schemes are the communication big data travel card provided by operators, the health codes based on big data analysis, and the Exposure Notifications System issued by Apple/Google Corporation.
The 6G network can be referred to as the “AI + ground communication + satellite network”. Using AI technology to build 6G networks will be an inevitable choice, and using intelligent dynamic spectrum-sharing technology between ground communication and satellite communication can improve spectrum efficiency. At the same time, intelligent seamless switching technology and intelligent interference elimination technology are being used to realize real space-air-ground-sea intelligent communication.

3.4.2. Space-Air-Ground-Sea Integration Networks

Due to limitations in the radio spectrum, service geographic coverage, and operating costs, 5G ground communication networks alone cannot provide high-quality and reliable services at any time and in any place. This is especially the case in remote areas such as oceans, forests, and deserts [114]. In order to provide truly ubiquitous wireless communication services on a global scale, it is necessary to develop an integrated space-air-ground-sea network to achieve global connectivity. The rapid development of wireless, broadband, fusion, and three-dimensional network technology provides the construction foundation for the integration of the space-air-ground-sea network with information sharing, interconnection, and unified command. Integrated use of big data, cloud computing, AI, satellite communications, multimedia communications, mobile communications, and other advanced technologies, and integration of space-based, air-based, ground-based, and sea-based platforms, can be used to construct the space-air-ground-sea integrated emergency communication network architecture. This architecture can realize the overall emergency resource planning and collaborative services of multiple platforms. The network architecture is shown in Figure 12. The integrated space-air-ground-sea network is based on a ground network, extended by air-based and sea-based networks, and connected and supplemented by a space-based network; thus, it covers the natural space including space, the sky, the ground, and the ocean [126,127]. The air-based network consists of satellites, which can be divided into GEO, MEO, and LEO satellites. The space-based network is composed of aerial platforms such as near-space airships, airplanes, UAVs, and hot-air balloons. The ground-based network is mainly composed of LANs and cellular mobile networks, including all wired and wireless network facilities on the ground. Currently, this mainly relies on 5G network technology. The sea-based network consists of coastal base stations, surface ships, buoys, etc.
  • Air-based network
The air-based network is a satellite network that is composed of multiple satellites in different orbits with different types and levels of performance, which form a constellation covering the whole world. It provides information interaction for users, aircraft, and various communication platforms on the ground and in the air through inter-satellite and satellite-Earth links. The network can be divided into GEO, MEO, and LEO satellite systems. GEO satellites have a large single satellite coverage capability, but high deployment cost and long propagation delay. In contrast, LEO satellites, having small single satellite coverage but low cost and small propagation delay, have gradually become the object of consideration. Giant constellation systems composed of LEO satellites are the focus of current research, and include Starlink and OneWeb. China also has plans for the launch of corresponding constellations, such as “Hongyun” and “Hongyan”, which are introduced in Section 3.2.2.
2.
Space-based network
Space-based networks can be divided into low-space networks and high-space networks. Low-space networks are mainly composed of UAVs, and also involve tethering UAVs, low-altitude balloons, tethered balloons, etc. High-space networks consist of balloons, airships, and gliders. Space-based communication approaches can significantly expand the communication distance, extend the coverage of the ground network, and complete the forwarding and exchange of information in the air.
The altitude of a low-space network is no more than 10 km, which is not suitable for disasters such as storms or hurricanes. UAV technology involves a flying base station that can be used to access disaster-affected areas, efficiently obtain the required data, and understand the disaster situation. With the characteristics of easy deployment and efficient capture of high-resolution images, UAV technology is an effective solution for emergency communication, disaster reduction, management, and recovery. The UAV sends the collected data to the disaster area to enable appropriate decisions to be made and necessary actions to be taken in real time. Deruyck et al. [128] studied the feasibility of a UAV-assisted emergency network in a large-scale disaster. Dhivya et al. [129] proposed a four-axis aircraft for emergency medical care. Perera et al. [130] collected real-time data by deploying wireless sensors on UAVs. Debnath et al. [42] designed and implemented an emergency network assisted by a UAV, which provides on-site monitoring, expands the existing Wi-Fi coverage through users’ smartphones, and assists in search and rescue operations. Due to the advantages of rapid and flexible deployment of UAVs, the cooperative communication of the UAV cluster is an important part of the space-air-ground-sea integrated network. UAV communications can reduce the burden on ground networks and improve service capacity in congested areas with high dynamic data traffic loads. In addition, satellites/UAVs with remote sensing technology can support reliable acquisition of monitoring data and assist in effective resource management and planning decisions for ground networks [131]. The search for victims will be improved by adjusting the position of drones to adapt to actual disaster situations and exploring new areas to search for and rescue more victims.
High-space networks, also known as “high-altitude airships”, “stratospheric platforms”, or “atmospheric satellites”, have a wide coverage area, good channel characteristics, convenient deployment, and other advantages. High-space networks are deployed at an altitude of 17–22 km, including balloons, airships, and gliders.
3.
Ground-based network
Ground-based networks mainly refer to ground fixed networks, ground mobile communication networks, and various types of terminals. Cellular mobile networks, vehicle networks, etc., are introduced in detail in Section 3.1.
4.
Sea-based network
Sea-based networks use ships and buoys as platforms to quickly establish communication support and carry out rescue missions in the case of maritime emergencies or natural disasters. In the space-air-ground-sea integrated emergency communication system, the communication support ship carries a tethered UAV platform. This platform carries multiple relay communication loads to quickly reach the emergency sea area by taking advantage of the strong carrying capacity of the ship-borne system and the abilities to maneuver over long distances and remain for a long time. The system realizes the information communication between the rescue forces and the onshore command center, and lays a good technical foundation for joint cooperation in rescue work.
The integrated space-air-ground-sea network uses TCP/IP technology to realize the interconnection of the Internet, mobile communication networks, and space networks, and to realize the unification of various applications on a common platform [132]. The network usually takes IP as the information carrying mode, combines technologies such as long-distance efficient transmission, signal processing, inter-satellite routing, and mobility management, and constructs a set of high-speed information networks covering the whole area based on the principle of the maximum effective comprehensive utilization of information resources.
In the integrated space-air-ground-sea network, various networking technologies have advantages and disadvantages in terms of coverage, transmission delay, throughput, and reliability. Terrestrial cellular networks provide wide-area coverage with high data rates, but are extremely vulnerable to natural disasters (e.g., earthquakes, typhoons, and hail). In contrast, satellite communications can complement service access to ground networks in areas with limited or no ground network coverage, but the system capacity is limited. UAV communication can reduce the burden on ground networks and improve service capabilities in congested areas with high dynamic data traffic loads, providing high-capacity wide-area coverage; however, UAV battery capacity is limited and the network may face energy shortages.
With the development of various key technologies, the construction of a space-air-ground-sea integrated emergency communication network can be divided into several aspects:
  • Integrate ground system and non-ground system: design an open and secure gateway interface to realize network interconnection and gradually optimize the delay and transmission cost of non-ground networks.
  • Unified planning of satellites with different orbital heights to realize networking communication: adopt the architecture mode and key technology similar to that of the ground network, and improve the networking efficiency of the space-air-ground-sea integration.
  • Realize the reuse and sharing of space-air-ground-sea communication network equipment and computing processing capacity: through modularization of equipment, cloud computing and processing, and other technologies, the cost of emergency rescue can be further reduced and network technical support can be provided for emergency response.
The development of the space-air-ground-sea integrated network faces the following major challenges:
  • The network dynamic change speed is fast, the structure is complex, and the topology changes frequently;
  • The performance of different service facilities (e.g., satellites and base stations) varies greatly;
  • High construction cost and high trial-and-error cost.
The space-air-ground-sea integrated network can provide ubiquitous, collaborative, and efficient information support infrastructure for various network applications. In addition, the network can take full advantage of the different dimensional networks, such as air-based backbone networks, and space-based, ground-based, and sea-based access networks, overcome the barriers that exist between originally independent networks, and truly realize the integration of the networks. In this case, ensuring reliable and efficient data transmission of the network to meet people’s increasing requirements for the space-air-ground-sea integration network service has become an important goal and research focus. In the future, the space-air-ground-sea integration network will realize efficient cooperation through mutual integration; for example, through unified planning of satellites, space networking will be realized to fully utilize network advantages. Because of the development direction of the future 6G mobile communication system, the space-air-ground-sea integrated network can meet the needs of large-scale access and high-speed and low-delay data transmission of users in the whole domain.

4. Discussion

When natural disasters occur suddenly, the original public communication network facilities can be destroyed. In order to ensure the smooth development of emergency rescue work, it is necessary to quickly establish a temporary emergency communication network. Emergency communication refers to the means and methods of communication required for the comprehensive utilization of various communication resources to guarantee rescue, including emergency rescue, and the necessary communication when natural or man-made emergencies occur. Realizing the emergency rescue function is a basic condition, and its network structure will seriously affect the rescue efficiency. Emergency communication networks are characterized by uncertainty of time and place, unpredictability of communication demand, urgency of business, flexibility of application, rapidity of network construction, and brevity of the process. Emergency communication networks provide timely and effective communication support for all kinds of emergencies, and are an essential part of the comprehensive emergency support system.
Emergency communication networks are heterogeneous networks involving multiple communication technologies. According to the time, place, and damage degree of the infrastructure network, the network composition is uncertain, diverse, and dynamic. At present, emergency communication technologies mainly include satellite communication technology, wireless ad hoc network technology, cellular mobile communication technology, and wireless private network communication technology. Table 7 describes the features of various emergency communication technologies in terms of six aspects: characteristics, advantages, disadvantages, existing schemes, application scenarios, and development directions. The satellite communication system has the advantages of large communication capacity, low bit error rate, flexible networking, high communication quality, and wide coverage, and has the disadvantages of high cost, high latency, and communication blind spots. At present, the implemented schemes include VSAT, Inmarsat, Starlink, Tiantong-1, and BeiDou, which are mainly applied in the fields of personal positioning, marine ecological environment protection, and meteorological disaster prediction. In the future, these technologies will mainly develop in the direction of miniaturization, lower cost, and hybrid networks. The wireless ad hoc network has the advantages of flexible networking, wide network coverage, self-organization, self-healing, self-balancing, high network reliability, and high scalability, However, it experiences high delay and has limited bandwidth capacity. Existing technologies include WMN, MANET, VANET, FANET, and SANET, which are mainly used in mine emergency rescue, fire protection, earthquake, military communication, and marine surveillance scenarios. These technologies will move towards miniaturization, low attenuation, low bandwidth, portability, and hybrid networks. Cellular mobile communication has the advantages of unrestricted distance, wide coverage area, and low cost. At the same time, it is insufficient in terms of stability and anti-jamming capability. The technologies currently used include D2D, 5G, and 6G, which can be applied in the military, medical treatment, security, household, transportation, and construction fields. In the future, it will be necessary to improve their coverage and communication capacity through hybrid networks. Wireless private network communication technology has high reliability and high security, but also has a high cost and small communication capacity. The technologies currently used are mainly PDT, DMR, DPMR, P25, PMR, LTE, and TETRA, which are widely used in the public security, fire protection, rescue, petrochemical, and earthquake response fields. In the future, different technologies will need to unify standards and develop in the direction of fixed-mobile integration, broadband-narrowband integration, and public-private completion.
To summarize, each emergency communication network technology has its own advantages and disadvantages. Therefore, in the field of emergency communication, various networks should be used together to complement each other’s advantages and cooperate with each other, so as to better complete more complex communication tasks. A typical collaborative network scenario is shown in Figure 13. The system integrates satellite communication systems, a cellular network, a wireless private network, and an ad hoc network to obtain resilient post-disaster communication services through collaboration with various systems. The accident scene and the rescue command center realize data, voice, and video services through the cellular network. When cellular communication is interrupted due to a major accident or disasters, the wireless private network can be used to continue communication. The system can expand the communication range by means of an ad hoc network. Due to the advantages of the rapid and flexible deployment of UAVs in complex environments, FANET can be used to provide wireless network access services for air platforms. The emergency network at the disaster site can be deployed by emergency communication vehicles; however, in the case of complex terrain environments, such as earthquakes and floods, satellite communication system is a better choice. In general, in the case of sudden large-scale natural disasters and public emergencies, a single communication network technology cannot guarantee communication needs, so the emergency communication network should integrate multiple communication technologies to ensure normal communication.
In this paper, a broadband-narrowband integrated emergency communication system is proposed, which uses the PDT+LTE scheme to fuse information from the broadband-narrowband communication network into a unified scheduling platform. An LTE private network base station + piggyback mesh base station is adopted to expand the accident rescue area and ensure rescue communication. The system realizes instant message, audio, and video unified command and scheduling. Compared with traditional converged communication system equipment, it has the characteristics of integrating broadband and narrowband technology, portability, and a self-provided power supply. Through actual testing, it was found that the voice communication distance of the system is 15~20 km, and 16 video signals can be pulled at the same time, ensuring communication for the visual dispatch of emergency rescue services.
At present, all countries have recognized the importance of emergency communication networks, and further development has been made in relevant technologies. However, in the new situation, the emergency communication network still faces many problems to be solved:
  • Frequency resources: at present, there is a lack of national disaster communication dedicated spectrum. Effective spectrum management and dedicated disaster spectrum can minimize network congestion after disasters.
  • Bandwidth limitation: wireless transmission bandwidth is limited, and suffers from signal fading and noise interference.
  • Security: for information transmission, security services must be provided to enable reliable and secure communication through privacy, authentication, or access control. In an emergency, the deployed wireless communication network may be vulnerable to failures and security threats, resulting in incorrect data. Reliable, secure, and robust communications are therefore critical to successful emergency management operations.
  • Routing protocol: due to the different mobilities and topologies of different networks, routing paths are prone to interruption. In order to ensure the stability of networks, an efficient routing algorithm is needed.
  • Network mobility: the nodes of a hybrid network have special mobility. Furthermore, the network topology changes rapidly and ground terminals or ground sub-nets composed of multiple terminals are in constant motion. Therefore, network mobility has gradually become a key factor affecting network performance.
  • Access, switching, and fusion: the hybrid network is composed of multiple sub-nets, and different communication networks differ in terms of their nodes, links, functions, and other attributes. Therefore, an efficient and robust network structure is required to cope with the access, switching, and fusion among heterogeneous networks.
With the rapid development of network technology and information technology, the IoT, cloud computing, and big data have penetrated into the daily applications of humans. The emergency wireless private network is evolving toward the PDT narrowband digital cluster and B-TrunC broadband cluster private networks. The development of satellite mobile communication will be in the direction of large capacity, high power, high speed, and low cost. The integration of wireless ad hoc network technology, 5G communication technology, satellite communication technology, and other private network technology will also be the focus of future development. The construction of the space-air-ground-sea integrated emergency communication network has gradually entered the 21st century, and the rapid development of wireless, broadband, ubiquitous, fusion, and three-dimensional network technologies has enabled the construction of emergency communication platforms characterized by information sharing, interconnection, unified command, and coordination. This network has a layered heterogeneous architecture, which will realize multi-platform emergency resource planning and collaborative services, and is the main development trend in emergency networks.

5. Conclusions

In contrast to traditional communication networks, emergency communication networks are characterized by their fast communication speed, non-fixed communication location, and high flexibility; these advantages can effectively make up for the deficiency of the communication network. Establishing an emergency network is a prerequisite for the smooth implementation of rescue and recovery operations after geological disasters. This paper provides a comprehensive survey of emergency communication networks, highlighting their classifications, characteristics, applications, and development directions. The main findings of this review are summarized as follows:
  • The application of communication networks is introduced by citing different examples. Subsequently, the characteristics and importance of emergency communication network are discussed.
  • The classification of emergency communication networks under different standards is introduced. The paper then describes the advantages, disadvantages, and applications of different network technologies, such as satellite networks, WMN, MANET, VANET, FANET, SANET, cellular networks, and wireless private networks.
  • This paper summarizes a large number of emergency communication schemes currently in use, analyzes the challenges of these schemes, and proposes some possible directions.
  • A case study is introduced of a portable broadband-narrowband integrated emergency communication command system. The characteristics, topology structure, and application method of the case are introduced in detail, and the system was tested in the field. The test results show that the communication distance of the system is 15~20 km, which ensures communication for the visual dispatch of emergency rescue services.
  • The problems, challenges, and future research directions of the emergency communication network are discussed, and the development trend of space-air-ground-sea networks is clearly introduced.
Finally, emergency networks mainly consist of satellite networks, narrowband private networks, broadband private networks, and cellular networks, and the integration of various networking technologies. As public network communication progresses from 4G to 5G, digital cluster private networks are gradually evolving in the direction of broadband multimedia. Broadband private networks are driven by the demands of complex emergency communication scenarios, and have become the mainstream trend in communication construction in major countries around the world. In the field of emergency communication, various networks should be combined to form an integrated network with complementary advantages and mutual cooperation, so as to better complete more complex communication tasks. In the future, the emergency network will develop in the direction of intelligence, integration, popularization, low cost, and space-air-ground-sea integration. With the continuous development of economies and societies, the emergency communication network has been further improved and more new network technologies have emerged. This will further promote the rapid implementation of emergency rescue work.

Author Contributions

Conceptualization, Q.W., W.L., T.Z., L.W. and Q.L.; methodology, Z.Y., Q.A., M.I., S.A. and Y.S.; investigation, Q.W.; resources, L.W. and Q.L.; writing—original draft preparation, Q.W.; writing—review and editing, Q.W., W.L., Z.Y., Q.A., M.I., S.A., Y.S. and T.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Shaanxi Province key industry innovation chain project (Grant No. 2020ZDLGY15-07) and China Scholarship Fund.

Data Availability Statement

Not applicable.

Acknowledgments

We are grateful to those who participated in the data processing and manuscript revisions.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Qian, G.; Wei, F. Summary of global earthquake disasters in 2020. Adv. Earthq. Sci. 2021, 51, 289–296. [Google Scholar]
  2. Wu, D. Enlightenment of hurricane disaster emergency management in the United States in 2017. Labor Prot. 2018, 11, 94–97. [Google Scholar]
  3. Huang, W.; Zhang, Y.; Li, G.; Guo, H.; Liu, Q.; Tao, R. Marine disaster investigation and risk assessment. City Disaster Reduct. 2021, 2, 14–19. [Google Scholar]
  4. Chen, H.; Wang, Z.; Chengri, L. Earthquake disaster in Haiti and its lessons. Int. Earthq. Dyn. 2011, 9, 36–41. [Google Scholar]
  5. Zhan, B. Recent global disasters. Disaster Prev. Expo. 2021, 5, 70–75. [Google Scholar]
  6. Shugar, D.H.; Jacquemart, M.; Shean, D.; Bhushan, S.; Upadhyay, K.; Sattar, A. A massive rock and ice avalanche caused the 2021 disaster at Chamoli, Indian Himalaya. Science 2021, 373, 300–306. [Google Scholar] [CrossRef] [PubMed]
  7. Raza, M.; Awais, M.; Ali, K.; Aslam, N.; Paranthaman, V.V.; Imran, M.; Ali, F. Establishing effective communications in disaster affected areas and artificial intelligence based detection using social media platform. Futur. Gener. Comput. Syst. 2020, 112, 1057–1069. [Google Scholar] [CrossRef]
  8. Wenfeng, L.; Hua, L. Research on mine wireless rescue communication technology. Coal Sci. Technol. 2008, 7, 80–83. [Google Scholar]
  9. Toshikazu, S.; Fadlullah, Z.; Ngo, T.; Nishiyama, H.; Nakazawa, M.; Adachi, F.; Nato, N. Disaster-resilient networking: A New Vision Based on Movable and Deployable Resource Units. IEEE Netw. Mag. 2013, 27, 40–46. [Google Scholar]
  10. Xiaoqiang, M. Emergency Communication; Beijing University of Posts and Telecommunications Press: Beijing, China, 2016; pp. 3–10. [Google Scholar]
  11. Ali, K.; Nguyen, H.; Vien, Q.-T.; Shah, P.; Chu, Z. Disaster management using D2D communication with power transfer and clustering techniques. IEEE Access 2018, 6, 14643–14654. [Google Scholar] [CrossRef]
  12. Shiqiu, C. Development Trend and Key Technologies of 5G Mobile Communication. Digit. Commun. World 2019, 3, 43. [Google Scholar]
  13. Stavroulakis, P. Terrestrial Trunked Radio Tetra; Springer: Berlin/Heidelberg, Germany, 2007. [Google Scholar]
  14. Pelton, J.N. Trends and Future of Satellite Communications; Springer: New York, NY, USA, 2017. [Google Scholar]
  15. Lagunas, E.; Sharma, S.K.; Maleki, S. Resource Allocation for Cognitive Satellite Communications with Incumbent Terrestrial Networks. IEEE Trans. Cogn. Commun. Netw. 2017, 1, 305–317. [Google Scholar] [CrossRef] [Green Version]
  16. Schmitter, E.D. Remote sensing and modeling of energetic electron precipitation into the lower ionosphere using VLF/LF radio waves and field aligned current data. Adv. Radio Sci. 2015, 13, 233–242. [Google Scholar] [CrossRef] [Green Version]
  17. Chen, Y.; Xiao, Y. Electronic Technology and Software Engineering. J. Clean. Prod. 2015, 7, 43. [Google Scholar]
  18. Wang, J.; Ding, G.; Wang, H. HF communications: Past, present, and future. Wirel. Commun. Over Zigbee Automot. Inclin. Meas. China Commun. 2018, 15, 1–9. [Google Scholar] [CrossRef]
  19. Zheng, W.; Tan, Z. Research on Calculation Method of Frequency Set for Regional HF Communications. Mob. Commun. 2017, 41, 69–74. [Google Scholar]
  20. Ahmadansari, A.; Alam, M.J.; Hasan, Z. Performance Analysis of IEEE802.11 Ad Hoc Network with Applied Information Systems, varying CW min. Int. J. Appl. Inf. Syst. 2014, 6, 6–8. [Google Scholar]
  21. Rotsching, R.; Tudose, D. Versatile Wireless Mesh Networking Platform. In Proceedings of the 2019 18th RoEduNet Conference: Networking in Education and Research (RoEduNet), Galati, Romania, 10–12 October 2019; pp. 1–5. [Google Scholar]
  22. Karthika, K.C. Wireless mesh network: A. Survey. In Proceedings of the International Conference on Wireless Communications, Signal Processing and Networking, (WiSPNET), Chennai, China, 23–25 March 2016; pp. 1966–1970. [Google Scholar]
  23. Ansari, Q.; Gupta, K.D. A survey on power distribution in Wireless Mesh Network. In Proceedings of the IEEE Annual India Conference, (INDICON), New Delhi, India, 17–20 December 2015; pp. 1–4. [Google Scholar]
  24. Farhan, K.A.; Abdel-Fattah, F.; Altarawneh, F. Survey Paper on Multicast Routing in Mobile Ad-hoc Networks. In Proceedings of the 2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT), Amman, Jordan, 9–11 April 2019; pp. 449–452. [Google Scholar]
  25. Kumbhar, A.; Koohifar, F.; Güvenç, İ.; Mueller, B. A Survey on Legacy and Emerging Technologies for Public Safety Communications. IEEE Commun. Surv. Tutor. 2016, 19, 97–124. [Google Scholar] [CrossRef]
  26. Jia, M.; Gu, X.; Guo, Q.; Xiang, W.; Zhang, N. Broadband Hybrid Satellite-Terrestrial Communication Systems Based on Cognitive Radio toward 5G. IEEE Wirel. Commun. 2016, 23, 96–106. [Google Scholar] [CrossRef]
  27. Turk, Y.; Zeydan, E. An experimental measurement analysis of congestion over converged fixed and mobile networks. Wirel. Net 2020, 26, 1017–1032. [Google Scholar] [CrossRef]
  28. Zhao, H.; Yang, W. An emergency rescue communication system and environmental monitoring subsystem for underground coal mine based on wireless mesh network. Int. J. Distrib. Sens. Netw. 2018, 14, 1550147718805935. [Google Scholar] [CrossRef] [Green Version]
  29. Du, Z. Design of Multi-service Linkage Communication Platform for Coal Mine. Ind. Mine Autom. 2018, 44, 14–18. [Google Scholar]
  30. Fang Runner-up. Development of mine emergency rescue Platform based on information technology—Comment on mine Emergency Rescue Platform—Internet + Emergency Rescue. Min. Res. Dev. 2020, 40, 180. [Google Scholar]
  31. Xiong, L. Application of Wireless Mesh AD hoc network in emergency communication base station back transmission. Inf. Commun. 2019, 7, 228–230. [Google Scholar]
  32. Ji, X. Research on fusion application of wireless AD hoc network and satellite mobile communication. China New Commun. 2020, 39, 91–93. [Google Scholar] [CrossRef]
  33. Alsharif, M.H.; Nordin, R. Evolution towards fifth generation (5G) wireless networks: Current trends and challenges in the deployment of millimetre wave, massive MIMO, and small cells. Telecommun. Syst. 2017, 64, 617–637. [Google Scholar] [CrossRef]
  34. Zhang, S.; Li, T. Review of Wireless AD hoc Network Technology. Digit. Commun. World 2020, 7, 1–4. [Google Scholar]
  35. Shafi. 5G: A Tutorial Overview of Standards, Trials, Challenges, Deployment, and Practice. IEEE J. Sel. Areas Commun. 2017, 35, 1201–1221. [Google Scholar] [CrossRef]
  36. Xiaohu, Y. Towards 6G wireless communication networks:vision, enabling technologies, and new paradigm shifts. Sci. China 2021, 64, 5–78. [Google Scholar]
  37. Yushan, P.; Zhang, Z.; Wang, T. Vision and Challenge of space-earth integrated Communication Network. Post Telecommun. Des. Technol. 2020, 4, 15–20. [Google Scholar]
  38. Wang, J.; Wu, Y.; Yen, N.; Guo, S.; Cheng, Z. Big Data Analytics for Emergency Communication Networks: A Survey. IEEE Commun. Surv. Tutor. 2016, 18, 1758–1778. [Google Scholar] [CrossRef]
  39. Pervez, F.; Qadir, J.; Khalil, M.; Yaqoob, T.; Ashraf, U.; Younis, S. Wireless Technologies for Emergency Response: A Comprehensive Review and Some Guidelines. IEEE Access 2018, 6, 71814–71838. [Google Scholar] [CrossRef]
  40. Ali, K.; Nguyen, H.; Shah, P.; Raza, M.; Paranthaman, V.; Rahmadi, B.; Awais, M.; Islam, S. Review and Implementation of Resilient Public Safety Networks: 5G, IoT, and Emerging Technologies. IEEE Netw. 2021, 35, 18–25. [Google Scholar] [CrossRef]
  41. Du, L.; Feng, Y.; Tang, L.Y.; Kang, W.; Lu, W. Networks in disaster emergency management: A systematic review. Nat. Hazards 2020, 103, 1–27. [Google Scholar] [CrossRef]
  42. Debnath, S.; Arif, W.; Roy, S.; Baishya, S.; Sen, D. A Comprehensive Survey of Emergency Communication Network and Management. Wirel. Pers. Commun. 2021, 124, 1375–1421. [Google Scholar] [CrossRef]
  43. Anjum, S.S.; Noor, R.M.; Anisi, M.H. Review on MANET Based Communication for Search and Rescue Operations. Wirel. Pers. Commun. 2017, 94, 31–52. [Google Scholar] [CrossRef]
  44. Abhishek, S.; Vanjani, P.; Paliwal, N.; Nalin, D.; Wang, H.-C. Communication and networking technologies for UAVs: A survey. J. Netw. Comput. Appl. 2020, 168, 102739. [Google Scholar]
  45. Kishorbhai, V.Y.; Vasantbhai, N.N. AON: A Survey on Emergency Communication Systems during a Catastrophic Disaster. Procedia Comput. Sci. 2017, 115, 838–845. [Google Scholar] [CrossRef]
  46. Yli-Huumo, J.; Ko, D.; Choi, S.; Park, S.; Smolander, K. Where Is Current Research on Blockchain Technology?—A Systematic Review. PLoS ONE 2016, 11, e0163477. [Google Scholar] [CrossRef] [Green Version]
  47. Hassan, N.U.L.; Huang, C.; Yuen, C.; Ahmad, A.; Zhang, Y. Dense Small Satellite Networks for Modern Terrestrial Communication Systems: Benefits, Infrastructure, and Technologies. IEEE Wirel. Commun. 2020, 27, 96–103. [Google Scholar] [CrossRef]
  48. Lin, X.; Cioni, S.; Charbit, G.; Chuberre, N.; Hellsten, S.; Boutillon, J.-F. On the Path to 6G: Embracing the Next Wave of Low Earth Orbit Satellite Access. IEEE Commun. Mag. 2021, 59, 36–42. [Google Scholar] [CrossRef]
  49. Kodheli, O.; Lagunas, E.; Maturo, N.; Sharma, S.K.; Shankar, B.; Montoya, J.F.M.; Duncan, J.C.M.; Spano, D.; Chatzinotas, S.; Kisseleff, S.; et al. Satellite Communications in the New Space Era: A Survey and Future Challenges. IEEE Commun. Surv. Tutor. 2021, 23, 70–109. [Google Scholar] [CrossRef]
  50. Conti, M.; Giordano, S. Mobile ad hoc networking: Milestones, challenges, and new research directions. IEEE Commun. Mag. 2014, 52, 85–96. [Google Scholar] [CrossRef]
  51. Contreras-Castillo, J.; Zeadally, S.; Guerrero-Ibañez, J.A. Internet of Vehicles: Architecture, Protocols, and Security. IEEE Internet Things J. 2018, 5, 3701–3709. [Google Scholar] [CrossRef]
  52. Ansari, R.I.; Chrysotomou, C.; Hassan, S.A.; Guizani, M.; Mumtaz, S.; Rodriguez, J.; Rodrigues, J.J. 5G D2D Networks: Techniques, Challenges, and Future Prospects. IEEE Syst. J. 2018, 12, 3970–3984. [Google Scholar] [CrossRef]
  53. Chen, S.; Hu, J.; Shi, Y.; Zhao, L. LTE-V: A TD-LTE-Based V2X Solution for Future Vehicular Network. IEEE Internet Things J. 2016, 3, 997–1005. [Google Scholar] [CrossRef]
  54. Loginov, V.A.; Lyakhov, A.I.; Khorov, E.M. Coexistence of Wi-Fi and LTE-LAA Networks: Open Issues. J. Commun. Technol. Electron. 2018, 63, 1530–1537. [Google Scholar] [CrossRef]
  55. He, L.; Yan, Z.; Atiquzzaman, M. LTE/LTE-A Network Security Data Collection and Analysis for Security Measurement: A Survey. IEEE Access 2018, 6, 4220–4242. [Google Scholar] [CrossRef]
  56. Tsai, Y.-L.S.; Dietz, A.; Oppelt, N.; Kuenzer, C. Remote Sensing of Snow Cover Using Spaceborne SAR: A Review. Remote Sens. 2019, 11, 1456. [Google Scholar] [CrossRef] [Green Version]
  57. Haiwei, Q.; Zhang, P.; Li, Z.; Liu, C. A New Geostationary Satellite-Based Snow Cover Recognition Method for FY-4A AGRI. IEEE Jstars 2021, 14, 11372–11385. [Google Scholar]
  58. Muhuri, A.; Manickam, S.; Bhattacharya, A. Snow Cover Mapping Using Polarization Fraction Variation with Temporal RADARSAT-2 C-Band Full-Polarimetric SAR Data Over the Indian Himalayas. IEEE Jstars 2018, 11, 2192–2209. [Google Scholar] [CrossRef]
  59. Ran, Y. Considerations and suggestions on improvement of communication network disaster countermeasures after the Wenchuan earthquake. IEEE Commun. Mag. 2011, 49, 44–47. [Google Scholar] [CrossRef]
  60. Iapichino, G.; Bonnet, C.; del Rio Herrero, O.; Baudoin, C.; Buret, I. A mobile ad-hoc satellite and wireless mesh networking approach for public safety communications. In Proceedings of the 2008 10th international Workshop on Signal Processing for Space Communications, Rhodes Island, Greece, 6–8 October 2008; pp. 1–6. [Google Scholar]
  61. Xu, X.; Wang, N.; Wang, C. Development of satellite communication and its integration with ground mobile communication. Aerosp. China 2021, 22, 59–66. [Google Scholar]
  62. Pecorella, T.; Ronga, L.; Chiti, F.; Jayousi, S.; Franck, L. Emergency satellite communications: Research and standardization activities. IEEE Commun. Mag. 2015, 53, 170–177. [Google Scholar] [CrossRef]
  63. Casoni, M.; Grazia, C.; Klapez, M.; Patriciello, N.; Amditis, A.; Sdongos, E. Integration of satellite and LTE for disaster recovery. IEEE Commun. Mag. 2015, 53, 47–53. [Google Scholar] [CrossRef]
  64. Broch, J.; Maltz, D.A.; Johnson, D.B. A performance comparison of multi-hop wireless ad hoc network routing protocols. Int. Conf. Mob. Comput. Netw. ACM 1998, 114, 85–97. [Google Scholar]
  65. Wang, T.; Liu, J.; Cheng, L.; Xiao, H. Robust collaborative mesh networking with large-scale distributed wireless heterogeneous terminals in industrial cyber-physical systems. Int. J. Distrib. Sens. Netw. 2017, 9, 1550147717729640. [Google Scholar] [CrossRef]
  66. Chakraborty, S.; Sharma, S.; Nandi, S. MAC Layer Channel Access and Forwarding in a Directional Multi-Interface Mesh Network. IEEE Trans. Mob. Comput. 2015, 14, 565–578. [Google Scholar] [CrossRef]
  67. Zhang, D.; Zhang, T.; Liu, X. Novel self-adaptive routing service algorithm for application in VANET. Appl. Intell. 2019, 49, 1866–1879. [Google Scholar] [CrossRef]
  68. Namdev, M.; Goyal, S.; Agarwal, R. An Optimized Communication Scheme for Energy Efficient and Secure Flying Ad-hoc Network (FANET). Wirel. Pers. Commun. 2021, 120, 1291–1312. [Google Scholar] [CrossRef]
  69. Srivastava, A.; Prakash, J. Future FANET with application and enabling techniques: Anatomization and sustainability issues. Comput. Sci. Rev. 2021, 39, 100359. [Google Scholar] [CrossRef]
  70. Islam, A.B.M.A.A.; Raghunathan, V. SymCo: Symbiotic Coexistence of Single-hop and Multi-hop Transmissions in Next-generation Wireless Mesh Networks. Wirel. Netw. 2015, 21, 2115–2136. [Google Scholar] [CrossRef]
  71. Suzuki, H.; Kaneko, Y.; Mase, K.; Yamazaki, S.; Makino, H. An ad hoc network in the sky, SKYMESH, for large-scale disaster recovery. In Proceedings of the IEEE Vehicular Technology Conference, Montreal, QC, Canada, 25–28 September 2006; pp. 1–5. [Google Scholar]
  72. Kanchanasut, K.; Tunpan, A.; Awal, M.A.; Das, D.K.; Wongsaardsakul, T.; Tsuchimoto, Y. DUMBONET: A multimedia communication system for collaborative emergency response operations in disaster-affected areas. Int. J. Emerg. Manag. 2007, 4, 670–681. [Google Scholar] [CrossRef]
  73. Niranjan Kumar, R.; Ashok Kumar, T. A framework for post-disaster communication using wireless ad hoc networks. Integration 2017, 58, 274–285. [Google Scholar]
  74. Xing, X.C.; ZENG, F.B. MESH Network Technology in Fire Emergency Communication Application. Netw. Secur. Technol. Appl. 2012, 10, 68–70. [Google Scholar]
  75. Zhang, L. Application of MESH network technology in fire emergency communication. China New Commun. 2020, 22, 35. [Google Scholar]
  76. Chen, Z.; Chen, L.; Liu, Y.; Piao, Y. Application Research of Wireless Mesh Network on Earthquake. In Proceedings of the 2009 International Conference on Industrial and Information Systems, Barcelona, Spain, 25–27 February 2009; pp. 19–22. [Google Scholar] [CrossRef]
  77. Lu, Z.; Cao, G.; La Porta, T. TeamPhone: Networking SmartPhones for Disaster Recovery. IEEE Trans. Mob. Comput. 2017, 16, 3554–3567. [Google Scholar] [CrossRef] [Green Version]
  78. Kim, J.C.; Kim, D.Y.; Jung, S.M.; Lee, M.H.; Kim, K.S.; Lee, C.K.; Nah, J.Y.; Lee, S.H.; Kim, J.H.; Choi, W.J.; et al. Implementation and performance evaluation of mobile ad hoc network for Emergency Telemedicine System in disaster areas. In Proceedings of the 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Minneapolis, MN, USA, 2–6 September 2009; pp. 1663–1666. [Google Scholar] [CrossRef]
  79. Qiu, T.; Wang, X.; Chen, C.; Atiquzzaman, M.; Liu, L. TMED: A Spider-Web-Like Transmission Mechanism for Emergency Data in Vehicular Ad Hoc Networks. IEEE Trans. Veh. Technol. 2018, 67, 8682–8694. [Google Scholar] [CrossRef]
  80. Khan, Z.; Fan, P.; Fang, S. On the Connectivity of Vehicular Ad Hoc Network Under Various Mobility Scenarios. IEEE Access 2017, 5, 22559–22565. [Google Scholar] [CrossRef]
  81. Milton, J.M.; Ramakrishnan, B. Live Emergency and Warning Alerts through Android Application for Vehicular Ad Hoc Network Communication (Android VANET). Wirel. Pers. Commun. 2021, 116, 125–151. [Google Scholar] [CrossRef]
  82. Hussen, H.R.; Choi, S.-C.; Park, J.-H.; Kim, J. Predictive geographic multicast routing protocol in flying ad hoc networks. Int. J. Distrib. Sens. Netw. 2019, 15, 1550147719843879. [Google Scholar] [CrossRef]
  83. Khan, M.A.; Safi, A.; Qureshi, I.; Khan, I.U. Flying ad-hoc networks (FANETs): A review of communication architectures and routing protocols. In Proceedings of the First International Conference on Latest trends in Electrical Engineering and Computing Technologies (INTELLECT), Karachi, Pakistan, 15–16 November 2017; pp. 1–9. [Google Scholar]
  84. Wheeb, A.H.; Nordin, R.; Samah, A.; Alsharif, M.; Khan, M.A. Topology-based routing protocols and mobility models for flying ad hoc networks: A contemporary review and future research directions. Drones 2021, 6, 9. [Google Scholar] [CrossRef]
  85. Yau, K.A.; Syed, A.; Hashim, W.; Qadir, J.; Wu, C.; Hassan, N. Maritime Networking: Bringing Internet to the Sea. IEEE Access 2019, 7, 48236–48255. [Google Scholar] [CrossRef]
  86. Hadeel, M.T. Sea Ad hoc Network (SANET) Challenges and Development. Int. J. Appl. Eng. Res. 2018, 13, 6257–6261. [Google Scholar]
  87. Zhao, Y.; Guanghui, Y.; Hanqing, X. 6G mobile communication network: Vision, challenges and key technologies. Chin. Sci. Inf. Sci. 2019, 49, 963–987. [Google Scholar] [CrossRef] [Green Version]
  88. Xiaohu, Y.; Hao, Y.; Hequan, W. On 6G and wide-area IoT. Chin. J. Internet Things 2020, 4, 3–11. [Google Scholar]
  89. Chai, R.; Zou, F.; Liu, S.; Chen, Q. 6G mobile Communication: Vision, Key Technologies and System Architecture. J. Chongqing Univ. Posts Telecommun. 2021, 33, 337–347. [Google Scholar]
  90. Liu, Y.; Peng, M. 6G endogenous security:architecture and key technologies. Telecommun. Sci. 2020, 36, 11–20. [Google Scholar]
  91. Shafique, K.; Khawaja, B.; Sabir, F.; Qazi, S.; Mustaqim, M. Internet of Things (IoT) for Next-Generation Smart Systems: A Review of Current Challenges, Future Trends and Prospects for Emerging 5G-IoT Scenarios. IEEE Access 2020, 8, 23022–23040. [Google Scholar] [CrossRef]
  92. Ruengsatra, T.; Nakorn, K.N.; Piromsopa, K.; Rojviboonchai, K. A hybrid communication approach for disaster recovery system. In Proceedings of the 2015 IEEE/ACIS 16th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), Takamatsu, Japan, 1–3 June 2015; pp. 1–6. [Google Scholar]
  93. Fodor, G.; Parkvall, S.; Sorrentino, S.; Wallentin, P.; Lu, Q.; Brahmi, N. Device-to-Device Communications for National Security and Public Safety. IEEE Access 2014, 2, 1510–1520. [Google Scholar] [CrossRef]
  94. Zhou, X.; Durrani, S.; Guo, J. Drone-Initiated D2D-Aided Multihop Multicast Networks for Emergency Information Dissemination. IEEE Access 2020, 8, 3566–3578. [Google Scholar] [CrossRef]
  95. Thomas, A.; Raja, G. FINDER: A D2D based critical communications framework for disaster management in 5G. Peer-to-Peer Netw. Appl. 2019, 12, 912–923. [Google Scholar] [CrossRef]
  96. Yan, C.H.; Li, W.J. Discussion on the Development Trend of wireless mobile communication—Broadband and mobile. China Strateg. Emerg. Ind. 2017, 108, 190. [Google Scholar]
  97. Jarwan, A.; Sabbah, A.; Ibnkahla, M.; Issa, O. LTE-Based Public Safety Networks: A Survey. IEEE Commun. Surv. Tutor. 2019, 21, 1165–1187. [Google Scholar] [CrossRef]
  98. Chandrasekharan, S.; Gomez, K.; Al-Hourani, A.; Kandeepan, S.; Rasheed, T.; Goratti, L.; Reynaud, L.; Grace, D.; Bucaille, I.; Wirth, T.; et al. Designing and implementing future aerial communication networks. IEEE Commun. Mag. 2016, 54, 26–34. [Google Scholar] [CrossRef] [Green Version]
  99. Al-Hilfi, H.M.T.; Al Hashimi, M.M.; Marghescu, I. WiMAX and WiFi network integration as backhaul on emergency communications. In Proceedings of the 2018 14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET), Kyiv, Ukraine, 20–24 February 2018; pp. 1063–1068. [Google Scholar] [CrossRef]
  100. Mu, K.L. The fifth generation maritime satellite communication system based on DVB-S2. China New Telecommun. 2017, 19, 98–100. [Google Scholar]
  101. Wang, J.; Zhang, L. Opportunities, challenges and evolution of the integration of cellular and Satellite communications. Telecommun. Technol. 2018, 58, 607–615. [Google Scholar]
  102. Fu, R.; Xiao, F.; Zheng, H.; Zang, Y. Research and application of networking technology based on satellite and wireless mesh network. Mod. Electron. Technol. 2017, 40, 21–24. [Google Scholar]
  103. Guan, C. Design and Implementation of Underground Mobile Video Monitoring System Based on Wireless Mesh Network; Beijing Jiaotong University: Beijing, China, 2016. [Google Scholar]
  104. Liu, L.; Zhang, Y.; Chen, H.; Xi, C.; Huang, J. Research on hybrid networking of mesh and LTE. Commun. Technol. 2018, 51, 866–869. [Google Scholar]
  105. Gopal, R.; BenAmmar, N. Framework for unifying 5G and next-generation satellite communications. IEEE Netw. 2018, 32, 16–24. [Google Scholar] [CrossRef]
  106. Boero, L.; Bruschi, R.; Davoli, F.; Marchese, M.; Patrone, F. Satellite networking integration in the 5G ecosystem: Research trends and open challenges. IEEE Netw. 2018, 32, 9–15. [Google Scholar] [CrossRef]
  107. Giambene, G.; Kota, S.; Pillai, P. Satellite-5G integration: A network perspective. IEEE Netw. 2018, 32, 25–31. [Google Scholar] [CrossRef]
  108. Yao, H.P.; Wang, L.Y.; Wang, X.D.; Wang, X.; Lu, Z.; Liu, Y. The space-terrestrial integrated network: An overview. IEEE Commun. Mag. 2018, 56, 178–185. [Google Scholar] [CrossRef]
  109. Naqvi, S.A.R.; Hassan, S.A.; Pervaiz, H.; Ni, Q. Drone-aided communication as a key enabler for 5G and resilient public safety networks. IEEE Commun. Mag. 2018, 56, 36–42. [Google Scholar] [CrossRef] [Green Version]
  110. Cheng, N.; Xu, W.C.; Shi, W.S.; Zhou, Y.; Lu, N.; Zhou, H.; Shen, X. Air-ground integrated mobile edge networks: Architecture, challenges, and opportunities. IEEE Commun. Mag. 2018, 56, 26–32. [Google Scholar] [CrossRef] [Green Version]
  111. Sekander, S.; Tabassum, H.; Hossain, E. Multi-tier drone architecture for 5G/B5G cellular networks: Challenges, trends, and prospects. IEEE Commun. Mag. 2018, 56, 96–103. [Google Scholar] [CrossRef] [Green Version]
  112. Xiong, G.; Zhu, F.H.; Dong, X.S.; Fang, H.; Hu, B.; Kong, Q.; Kang, W.; Teng, T. A kind of novel ITS based on space-air-ground big-data. IEEE Intell. Transp. Syst. Mag. 2016, 8, 10–22. [Google Scholar] [CrossRef]
  113. Zhang, N.; Zhang, S.; Yang, P.; Alhussein, O.; Zhuang, W.; Shen, X.S. Software defined space-air-ground integrated vehicular networks: Challenges and solutions. IEEE Commun. Mag. 2017, 55, 101–109. [Google Scholar] [CrossRef] [Green Version]
  114. Liu, J.J.; Shi, Y.P.; Fadlullah, Z.M.; Kato, N. Space-air-ground integrated network: A survey. IEEE Commun. Surv. Tut. 2018, 20, 2714–2741. [Google Scholar] [CrossRef]
  115. Zhou, Z.Y.; Feng, J.H.; Zhang, C.T.; Huq, K. SAGECELL: Software-defined space-air-ground integrated moving cells. IEEE Communed. Mag. 2018, 56, 92–99. [Google Scholar] [CrossRef]
  116. Jiang, Q. Research on the construction of 4G private network emergency command and dispatching system in the earthquake disaster areas. Comput. Knowl. Technol. 2018, 14, 58–59. [Google Scholar]
  117. Huang, X. Application and analysis of 5G network slice technology. Commun. Technol. 2018, 51, 2102–2106. [Google Scholar]
  118. Huo, Z.; Zhang, Y. 5G communication technology and its application conception in coal mine. Ind. Mine Autom. 2020, 46, 1–5. [Google Scholar]
  119. Wang, G.; Zhao, G.; Hu, Y. Application prospect of 5G technology in coal mine intelligence. J. China Coal Soc. 2020, 45, 16–23. [Google Scholar]
  120. Wang, S.; Zhou, X.; Chen, X.; Zhang, S.; Chen, R. Research on super dense networking technology of emergency communication based on 5G network. Electron. Des. Eng. 2020, 28, 80–84. [Google Scholar]
  121. Meng, Q. Probe on 5G architecture applied in coal mine underground. Ind. Mine Autom. 2020, 46, 2833. [Google Scholar]
  122. Wei, D.J.; Wei, X.R.; Jiang, X.G.; Yuan, Z.J. UAV maritime search and rescue scheme based on 5G communication network. Software 2021, 42, 145–150. [Google Scholar]
  123. Volk, M.; Sterle, J. 5G Experimentation for Public Safety: Technologies, Facilities and Use Cases. IEEE Access 2021, 9, 41184–41217. [Google Scholar] [CrossRef]
  124. Zhong, J.; Wang, H. Emergency communication technology based on 5G and drone intelligent networking. Telecommun. Eng. 2020, 60, 1290–1296. [Google Scholar]
  125. Xu, B.; Han, M. Research progress of international satellite communication standards. Inf. Commun. Technol. Policy 2019, 305, 48–51. [Google Scholar]
  126. Li, P.Z. Flow Control and Scheduling Algorithm of Air-Space-Ground Integrated Networks. J. Phys. Conf. 2018, 1087, 022012. [Google Scholar] [CrossRef]
  127. Li, H.; Wu, Q.; Xu, K.; Wu, J.P.; Yang, Z.Y.; Jiang, Z.; Zhu, L. Progress and tendency of space and earth integrated network. Sci. Technol. Rev. 2016, 34, 95–106. [Google Scholar]
  128. Deruyck, M.; Wyckmans, J.; Joseph, W.; Martens, L. Designing UAV-aided emergency networks for large-scale disaster scenarios. J. Wirel. Commun. Netw. 2018, 2018, 79. [Google Scholar] [CrossRef] [Green Version]
  129. Dhivya, A.J.A.; Premkumar, J. Quadcopter based technology for an emergency healthcare. In Proceedings of the 2017 Third International Conference on Biosignals, Images and Instrumentation (ICBSII), Chennai, India, 16–18 March 2017; pp. 1–3. [Google Scholar]
  130. Perera, T.D.P.; Panic, S.; Jayakody, D.; Muthuchidambaranathan, P. UAV-assisted data collection in wireless powered sensor networks over multiple fading channels. In Proceedings of the IEEE INFOCOM 2020—EEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Toronto, ON, Canada, 6–9 July 2020; pp. 647–652. [Google Scholar]
  131. Cheng, X.; Lyu, F.; Quan, W.; Zhou, C.; He, H.; Shi, W.; Shen, X. Space/aerial-assisted computing offloading for IoT applications: A learning-based approach. IEEE J. Sel. Areas Commun. 2019, 37, 1117–1129. [Google Scholar] [CrossRef]
  132. Shen, X.; Cheng, N.; Zhou, H.; Quan, W.; Shi, W.; Wu, H.; Zhou, C. Air space integrated network technology: Exploration and prospect. J. Internet Things 2020, 4, 7–23. [Google Scholar]
Figure 1. Satellite network communication system (PLMN: public land mobile network, PSTN: public switched telephone network).
Figure 1. Satellite network communication system (PLMN: public land mobile network, PSTN: public switched telephone network).
Remotesensing 15 01595 g001
Figure 2. Structure diagram of WMN.
Figure 2. Structure diagram of WMN.
Remotesensing 15 01595 g002
Figure 3. Structure diagram of MANET.
Figure 3. Structure diagram of MANET.
Remotesensing 15 01595 g003
Figure 4. Structure diagram of VANET.
Figure 4. Structure diagram of VANET.
Remotesensing 15 01595 g004
Figure 5. (a) Four link modes; (b) structure diagram of FANET.
Figure 5. (a) Four link modes; (b) structure diagram of FANET.
Remotesensing 15 01595 g005
Figure 6. Structure diagram of SANET.
Figure 6. Structure diagram of SANET.
Remotesensing 15 01595 g006
Figure 7. Development trend from 1G to 6G.
Figure 7. Development trend from 1G to 6G.
Remotesensing 15 01595 g007
Figure 8. Network structure of 370M narrowband private network.
Figure 8. Network structure of 370M narrowband private network.
Remotesensing 15 01595 g008
Figure 9. Network structure of mobile satellite communication.
Figure 9. Network structure of mobile satellite communication.
Remotesensing 15 01595 g009
Figure 10. System topology of broadband-narrowband integrated emergency communication.
Figure 10. System topology of broadband-narrowband integrated emergency communication.
Remotesensing 15 01595 g010
Figure 11. System topology of the “LTE + Mesh” network.
Figure 11. System topology of the “LTE + Mesh” network.
Remotesensing 15 01595 g011
Figure 12. System topology of the space-air-ground-sea integrated emergency communication network.
Figure 12. System topology of the space-air-ground-sea integrated emergency communication network.
Remotesensing 15 01595 g012
Figure 13. Collaborative network scenario.
Figure 13. Collaborative network scenario.
Remotesensing 15 01595 g013
Table 1. Characteristics of satellite communication system.
Table 1. Characteristics of satellite communication system.
ParameterGEO SatelliteMEO SatelliteLEO Satellite
Track height35,800 km2000–20,000 km500–2000 km
System communication capacity50 Gpbs16 Gpbs350 Tbps
End-to-end delay500 ms150 ms30 ms
System capacity density23.24 bps/km226.14 bps/km217 Mbps/km2
Capacity cost$60 million/Gbit$13.75 million/Gbit$18,400/Gbit
Satellite life10–15 years10–15 years3–7 years
Technical riskmediumlowhigh
Table 2. Comparison of ad hoc networks.
Table 2. Comparison of ad hoc networks.
ParameterMANETVANETFANETSANET
Number of nodeshighhighlowlow
Propagation modelon the groundon the groundin the airon the sea
Topologyad hoc and randomstar with roadside infrastructure and ad hoc among vehiclesstar and mesh (with base station, ad hoc among UAVs)star and mesh (with base station, ad hoc among ships)
Topology changedynamic, unpredictable, and lowaverage speedfast medium
Line of sightnot available for all casesavailable in some casesavailable in most casesavailable in some cases
Power consumeslowhighhigh for mini-UAV, small UAV not neededhigh
Mobilitylowhighvery highmedium
Mobility modelrandomregularregular under the conditionrandom
Main functionalityreal-time communicationreal-time communicationreal-time communicationreal-time communication
Computational powerlimitedaveragehighhigh
Densitylowhighvery lowhigh
LocalizationGPSGPS, DGPS, AGPSIMU, GPS, DGPS, AGPSGPS, DGPS
Table 3. Advantages and disadvantages of different network technologies.
Table 3. Advantages and disadvantages of different network technologies.
Network TechnologyAdvantagesDisadvantages
Satellite Communication TechnologyLong communication distance and large coverage area; flexible networking; communication quality is high and capacity is ample.The capacity of communication is limited, the use cost is high, and there are communication blind spots.
Ad hoc Network TechnologyFlexible networking mode; wide network coverage; self-organizing, self-healing, and self-balancing; highly reliable and extensible.Suffers from latency and limited bandwidth capacity.
Mobile Communication TechnologyThe communication distance is not restricted, the coverage area is wide, and the cost is low.The network is unstable.
Wireless Private Network Communication TechnologyHigh reliability and high security.High cost and small communication capacity.
Table 4. Representative foreign satellite communication systems.
Table 4. Representative foreign satellite communication systems.
Satellite Communication SystemCharacteristics
International Maritime Satellite (Inmarsat)The fourth-generation Inmarsat system consists of three geostationary orbiting satellites covering the globe between latitudes of 78 degrees north and south. As the satellite basis of GMDSS, the system provides Fleet Safety, RescueNET, and SafetyNET services, including maritime emergency communication services, such as distress alarm and maritime safety information sending and receiving.
IridiumThe system consists of 66 satellites in low polar orbit, achieving true global coverage. Voice and data communication functions are open to ships to complement the advantages of the GMDSS communication system and improve the quality of maritime communication.
StarlinkPlans to launch 42,000 satellites into orbit to provide Internet access at speeds comparable to fiber optics, forming a low-cost, high-coverage space-based global communications system.
OneWebThe “sky star earth network” networking mode is adopted to realize the global service capability of the whole system through the globally distributed ground stations.
Table 5. Representative domestic satellite communication system.
Table 5. Representative domestic satellite communication system.
Satellite Communication SystemCharacteristics
BeiDou Navigation Satellite System (BDS)The unique short message communication function of the BDS system can provide two-way message communication between any two users within the coverage area. In addition, it will support the development of various new services.
Hongyan constellationThe system is equipped with an automatic ship identification system, which can receive the information sent by the ship all over the world, fully grasp the navigation status, position, heading, and other information of the ship, and realize the monitoring and management of ships sailing in the open sea.
Hongyun projectThe system has the characteristics of integration of communication, navigation, and remote sensing, global coverage, and independent control. It is proposed to establish a low orbit broadband Internet access system based on small satellites for the first time; this will provide a comprehensive information platform integrating “communication, guidance and remote sensing” for all kinds of users.
Tiantong-1 satellite mobile communication systemThe Tiantong satellite mobile communication system will form a heaven-Earth integrated mobile communication network together with a ground mobile communication system to provide all-weather voice, data, short message, and other mobile satellite communication services for the territory, land and sea areas, and the surrounding areas of China.
Table 6. System parameter settings.
Table 6. System parameter settings.
Base Station ParametersTerminal and Other Parameters
Frequency point/Mhz1785–1805Transmit power/dBm23
Bandwidth/Mhz20Antenna gain/dBi0
Base station power/W20Antenna height/m1.4
Antenna gain/dBi12Interference margin/dB2.72
Antenna height/m40Receiving sensitivity/dBm−121.21
Cable feed loss/dB0.5Human body loss/dB0
Minimum receiving sensitivity/dBm130.5Penetration loss/dB16
Interference margin/dB0.89Shadow residue/dB8.06
Table 7. The features of various emergency communication technologies.
Table 7. The features of various emergency communication technologies.
ParameterSatellite Communication TechnologyAd hoc Network TechnologyMobile Communication TechnologyWireless Private Network Communication Technology
CharacteristicUsing satellites as relaysPeer-to-peer structureCellular wireless networking modePrivate network in specific area
AdvantagesLarge communication capacity, low bit error rate, flexible networking, high communication quality, wide coverageFlexible networking, wide network coverage, self-organization, self-healing, self-balancing, high network reliability, high scalabilityUnrestricted distance, wide coverage area, low costHigh reliability, high security
DisadvantagesHigh cost, high latency, communication blind spotsHigh latency, limited bandwidth capacityUnstable, low anti-interference abilityHigh cost, small communication capacity.
Existing schemesVSAT, Inmarsat, Starlink, Tiantong-1, BeiDouWMN, MANET, VANET, FANET, SANETD2D, 5G, 6GPDT, DMR, DPMR, P25 technology, PMR, LTE, TETRA
Application scenariosPersonnel positioning, marine ecological environment protection, meteorological disaster predictionMine emergency rescue, fire protection, earthquake, military communication, marine surveillance Military field, medical treatment, security, household, transportation, constructionPublic security, fire protection, rescue, petrochemical, earthquake
Development directionsMiniaturization, low cost, hybrid networksMiniaturization, low attenuation, low bandwidth, portability, hybrid networksHigh coverage, high capacity, hybrid networksHybrid networks, uniform standard, fixed-mobile integration, broadband-narrowband integration, public-private complementary
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Wang, Q.; Li, W.; Yu, Z.; Abbasi, Q.; Imran, M.; Ansari, S.; Sambo, Y.; Wu, L.; Li, Q.; Zhu, T. An Overview of Emergency Communication Networks. Remote Sens. 2023, 15, 1595. https://doi.org/10.3390/rs15061595

AMA Style

Wang Q, Li W, Yu Z, Abbasi Q, Imran M, Ansari S, Sambo Y, Wu L, Li Q, Zhu T. An Overview of Emergency Communication Networks. Remote Sensing. 2023; 15(6):1595. https://doi.org/10.3390/rs15061595

Chicago/Turabian Style

Wang, Qian, Wenfeng Li, Zheqi Yu, Qammer Abbasi, Muhammad Imran, Shuja Ansari, Yusuf Sambo, Liwen Wu, Qiang Li, and Tong Zhu. 2023. "An Overview of Emergency Communication Networks" Remote Sensing 15, no. 6: 1595. https://doi.org/10.3390/rs15061595

APA Style

Wang, Q., Li, W., Yu, Z., Abbasi, Q., Imran, M., Ansari, S., Sambo, Y., Wu, L., Li, Q., & Zhu, T. (2023). An Overview of Emergency Communication Networks. Remote Sensing, 15(6), 1595. https://doi.org/10.3390/rs15061595

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop