Advances in Vehicle Networks

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".

Deadline for manuscript submissions: closed (31 March 2022) | Viewed by 2244

Special Issue Editor


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Guest Editor
Department of Electrical and Computer Engineering, The University of Western Ontario, London, Canada
Interests: wireless channels; M2M communications; information flow in social networks

Special Issue Information

Dear Colleagues,

Connected vehicles are expected to transform the way we navigate modern cities, industrial cites, and agricultural lands, but they will not stop there. Vehicle-to-anything (V2X) communications, enabling electronics and software, networking and machine learning tools, and interaction between machines and humans are fundamental building blocks of this modern technology. Increased computational power and faster and more reliable communications enable extensive use of machine learning algorithms, optimization and information exchange, and widen the range of possible applications. Of particular interest are research areas which combine more than one classical field.

This Special Issue solicits novel publications which highlight recent advances in these fields as well as multidisciplinary developments in the fields of communications, networking, electronics, and applications of machine learning.

Prof. Dr. Serguei Primak
Guest Editor

Manuscript Submission Information

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Keywords

  • vehicular ad hoc networks
  • vehicular communications
  • protocol design and evaluation
  • large-scale vehicular networks
  • applications for vehicular networks
  • electronics components for rapid prototyping for IoT vehicular network applications
  • social networks of connected vehicular
  • modeling and simulation of propagation environments
  • machine learning algorithms for vehicular network navigation
  • machine–human interactions in vehicular networks

Published Papers (1 paper)

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Research

17 pages, 957 KiB  
Article
Jamming and Anti-Jamming Strategies of Mobile Vehicles
by Gleb Dubosarskii and Serguei Primak
Electronics 2021, 10(22), 2772; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics10222772 - 12 Nov 2021
Cited by 3 | Viewed by 1480
Abstract
Anti-jamming games have become a popular research topic. However, there are not many publications devoted to such games in the case of vehicular ad hoc networks (VANETs). We considered a VANET anti-jamming game on the road using a realistic driving model. Further, we [...] Read more.
Anti-jamming games have become a popular research topic. However, there are not many publications devoted to such games in the case of vehicular ad hoc networks (VANETs). We considered a VANET anti-jamming game on the road using a realistic driving model. Further, we assumed the quadratic power function in both vehicle and jammer utility functions instead of the standard linear term. This makes the game model more realistic. Using mathematical methods, we expressed the Nash equilibrium through the system parameters in single-channel and multi-channel cases. Since the network parameters are usually unknown, we also compared the performance of several reinforcement learning algorithms that iteratively converge to the Nash equilibrium predicted analytically without having any information about the environment in the static and dynamic scenarios. Full article
(This article belongs to the Special Issue Advances in Vehicle Networks)
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