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UAV Based Wireless Sensor Networks in Smart Cities

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Vehicular Sensing".

Deadline for manuscript submissions: closed (1 June 2024) | Viewed by 2061

Special Issue Editor


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Guest Editor
Mathematical Engineering and Computer Science Department, Public University of Navarre, 31006 Pamplona, Spain
Interests: health monitoring; wireless sensor networks; unmanned aerial systems (UASs); distributed systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Both smart cities and smart regions require the collection of large volumes of information that cannot always be carried out through terrestrial networks. For this reason, the use of unmanned aerial vehicles is sometimes used, which greatly facilitates observation, reconnaissance, information gathering and, in general, the acquisition of a broad and precise knowledge of the environment.

The use of these aerial means poses some interesting challenges, such as collaboration between them, ensuring flight safety (collision avoidance systems, CASs) and optimizing flights in terms of energy efficiency and guaranteeing quality of service (QoS). However, there are also other challenges, such as the regulation of airspace and of collaboration and interoperability between UAVs, those arising from cybersecurity, the guarantee of privacy, etc., which must also be properly addressed.

This Special Issue aims to address these challenges and provide adequate results for these issues in the field of smart cities.

This Special Issue solicits high-quality contributions that address these challenges and provide adequate results for these issues in the field of smart cities. In particular, we encourage original and high-quality submissions related to one or more of the following topics (not limited to):

  • Artificial Intelligence in Unmanned Aerial Vehicles: communications, command & control, autononomous fly, collision avoidance systems, collaboration...
  • Internet of Flying Things: enabling technologies, applications, challenges, and trends.
  • Internet of Things-based vehicular networks: cloud, edge and fog approaches.
  • Image Processing in Unmanned Aerial Vehicles: critical infrastructure monitoring, emergency response, disaster forecasting, crowd control, evacuation management, ecological monitoring...
  • Privacy and cybersecurity: proper management of the information lifecycle, development of regulations to ensure security and privacy.

Prof. Dr. José Javier Astrain
Guest Editor

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Keywords

  • AI in UAVs/UASs
  • IoFT
  • IoT-based UAVs
  • image processing
  • UAV-based Infrastructure monitorization
  • privacy and cybersecurity

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Published Papers (1 paper)

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Research

15 pages, 1082 KiB  
Article
Arithmetic Optimization AOMDV Routing Protocol for FANETs
by Huamin Wang, Yongfu Li, Yubing Zhang, Tiancong Huang and Yang Jiang
Sensors 2023, 23(17), 7550; https://doi.org/10.3390/s23177550 - 31 Aug 2023
Cited by 2 | Viewed by 1702
Abstract
Flying ad hoc networks (FANETs), composed of small unmanned aerial vehicles (UAVs), possess characteristics of flexibility, cost-effectiveness, and rapid deployment, rendering them highly attractive for a wide range of civilian and military applications. FANETs are special mobile ad hoc networks (MANETs), FANETs have [...] Read more.
Flying ad hoc networks (FANETs), composed of small unmanned aerial vehicles (UAVs), possess characteristics of flexibility, cost-effectiveness, and rapid deployment, rendering them highly attractive for a wide range of civilian and military applications. FANETs are special mobile ad hoc networks (MANETs), FANETs have the characteristics of faster network topology changes and limited energy. Existing reactive routing protocols are unsuitable for the highly dynamic and limited energy of FANETs. For the lithium battery-powered UAV, flight endurance lasts from half an hour to two hours. The fast-moving UAV not only affects the packet delivery rate, average throughput, and end-to-end delay but also shortens the flight endurance. Therefore, research is urgently needed into a high-performance routing protocol with high energy efficiency. In this paper, we propose a novel routing protocol called AO-AOMDV, which utilizes arithmetic optimization (AO) to enhance the ad hoc on-demand multi-path distance vector (AOMDV) routing protocol. The AO-AOMDV utilizes a fitness function to calculate the fitness value of multiple paths and employs arithmetic optimization for selecting the optimal route for routing selection. Our experiments were conducted using NS3 with three evaluation metrics: the packet delivery ratio, network lifetime, and average end-to-end delay. We compare this algorithm to routing protocols including AOMDV and AODV. The results indicate that the proposed AO-AOMDV attained a higher packet delivery ratio, network lifetime, and lower average end-to-end delay. Full article
(This article belongs to the Special Issue UAV Based Wireless Sensor Networks in Smart Cities)
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