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Mobile and Ad Hoc Networks
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Mobile and Ad Hoc Networks

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

Deadline for manuscript submissions: closed (30 September 2020) | Viewed by 6701

Special Issue Editors

Prof. Dr. Teruo Higashino

E-Mail Website
Guest Editor
Mobile Computing Laboratory, Graduate School of Information Science and Technology, Osaka University, Osaka 565-0871, Japan
Interests: mobile computing; ubiquitous computing; localization; mobility estimation; behavior estimation; crowd sensing; ITS; cyber physical systems
Prof. Dr. Hiroshi Shigeno

E-Mail Website
Guest Editor
Department of Information and Computer Science, Faculty of Science and Technology, Keio University, Hiyoshi, Yokohama 223-8522, Japan
Interests: computre networks; mobile computing; ubiquitous computing; ad hoc networks; ITS; network security; communication protocols

Special Issue Information

Dear Colleagues,

Recently, mobile ad hoc networks have taken notice of the means for autonomous driving and construction of smart and connected communities. VANETs are an essential technology for autonomous driving. By aggregating and analyzing data obtained from mobile devices, smartphones, and wearable sensors, it is possible to realize crowd behavior such as congestion of public spaces in real time. Such techniques can be used for not only behavior estimation but also behavior modification of humans and objects. They can be used for behavior supports of elderly people, disaster mitigation, construction of smart communities, and so on. This Special Issue aims to collect the latest research results related to “Mobile and Wireless Ad Hoc Networks”.

Prof. Dr. Teruo Higashino
Prof. Dr. Hiroshi Shigeno
Guest Editors

Manuscript Submission Information

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Keywords

  • Mobile ad hoc networks
  • Vehicular ad hoc networks
  • Localization and mobile sensing
  • Crowd sensing and mobility estimation
  • Behavior estimation/behavior modification
  • Edge centric computing for smart and connected communities
  • MANET-based disaster minigation

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Published Papers (3 papers)

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Research

22 pages, 1227 KiB  
Article
Learning from Routing Information for Detecting Routing Misbehavior in Ad Hoc Networks
by Robert Basomingera and Young-June Choi
Sensors 2020, 20(21), 6275; https://doi.org/10.3390/s20216275 - 4 Nov 2020
Cited by 5 | Viewed by 2067
Abstract
Owing to ad hoc wireless networks’ properties, the implementation of complex security systems with higher computing resources seems troublesome in most situations. Therefore, the usage of anomaly or intrusion detection systems has attracted considerable attention. The detection systems are implemented either as host-based, [...] Read more.
Owing to ad hoc wireless networks’ properties, the implementation of complex security systems with higher computing resources seems troublesome in most situations. Therefore, the usage of anomaly or intrusion detection systems has attracted considerable attention. The detection systems are implemented either as host-based, run by each node; or as cluster/network-based, run by cluster head. These two implementations exhibit benefits and drawbacks, such as when cluster-based is used alone, it faces maintaining protection when nodes delay to elect or replace a cluster head. Despite different heuristic approaches that have been proposed, there is still room for improvement. This work proposes a detection system that can run either as host- or as cluster-based to detect routing misbehavior attacks. The detection runs on a dataset built using the proposed routing-information-sharing algorithms. The detection system learns from shared routing information and uses supervised learning, when previous network status or an exploratory network is available, to train the model, or it uses unsupervised learning. The testbed is extended to evaluate the effects of mobility and network size. The simulation results show promising performance even against limiting factors. Full article
(This article belongs to the Special Issue Mobile and Ad Hoc Networks)
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16 pages, 2249 KiB  
Article
An Efficient Coded Streaming Using Clients’ Cache
by Tae-Won Ban, Woongsup Lee and Jongyeol Ryu
Sensors 2020, 20(21), 6220; https://doi.org/10.3390/s20216220 - 31 Oct 2020
Cited by 3 | Viewed by 1915
Abstract
As multimedia traffic has been increasing and is expected to grow more sharply, various technologies using caches have been attracting lots of attention. As one breakthrough technology to deal with the explosively growing traffic, exclusive OR (XOR)-based index coding has been widely investigated [...] Read more.
As multimedia traffic has been increasing and is expected to grow more sharply, various technologies using caches have been attracting lots of attention. As one breakthrough technology to deal with the explosively growing traffic, exclusive OR (XOR)-based index coding has been widely investigated because it can greatly enhance the efficiency of network resource by reducing the number of transmissions. In this paper, we investigate how to apply XOR-based index coding to large-scaled practical streaming systems for video traffic that accounts for more than 70% of total Internet traffic. Contrary to most previous studies that have focused on theoretical analysis of optimal performance or development of optimal index coding schemes, our study proposes a new XOR coding-based video streaming (XC). We also propose a new grouping algorithm for creating XC groups while guaranteeing the complete backward compatibility of XC with existing streaming schemes such as unicast (UC), multicast (MC), and broadcast (BC). The performance of the proposed scheme is analyzed in two steps. First, the behavior of video contents in caches at clients is modeled as a Markov chain, and the steady-state probabilities and caching probabilities for each piece of video content are derived. Based on the probabilities, the performance of the proposed system is then analyzed in terms of the average number of connections that each client requires in order to receive one video content. Our numerical results show that the proposed video streaming scheme using XC can reduce the average number of transmissions by up to 18%, compared to the conventional scheme. Full article
(This article belongs to the Special Issue Mobile and Ad Hoc Networks)
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27 pages, 2005 KiB  
Article
An Analytical Model for Interference Alignment in Broadcast Assisted VANETs
by Chong Zhao, Jianghong Han, Xu Ding, Lei Shi and Fan Yang
Sensors 2019, 19(22), 4988; https://doi.org/10.3390/s19224988 - 15 Nov 2019
Cited by 4 | Viewed by 2166
Abstract
Application of safety-related information interaction among vehicles has always been a research frontier in Vehicular Ad-hoc NETworks (VANETs). These messages require high real-time performance. There is a lot of research dependant on creating optimization model for communication task scheduling or routing protocols to [...] Read more.
Application of safety-related information interaction among vehicles has always been a research frontier in Vehicular Ad-hoc NETworks (VANETs). These messages require high real-time performance. There is a lot of research dependant on creating optimization model for communication task scheduling or routing protocols to reduce communication delay. In this paper, we analyze characteristics of safety-related information and introduce Interference Alignment (IA) technology in VANETs. To further improve routing efficiency, a data-driven assisted transmission routing and broadcast model framework for Vehicle to Vehicle(V2V) and Vehicle to Infrastructure (V2I) communication are constructed which are the basis for IA. Depending on the proposed model, we propose an optimization problem of minimizing total number of time slots required for safety information sharing in VANETs. Then a clustering algorithm is designed to narrow feasible solution space. Simulation results show that the approach can effectively reduce the number of time slots required and improve link use by 20% percent compared with no IA applied. Full article
(This article belongs to the Special Issue Mobile and Ad Hoc Networks)
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