Jamming and Anti-Jamming Strategies of Mobile Vehicles

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 func...

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Autores principales:	Gleb Dubosarskii, Serguei Primak
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	anti-jamming game communication game reinforcement learning Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/4bbf3ccf6ea3472e8317e212bc58f4ea
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id	oai:doaj.org-article:4bbf3ccf6ea3472e8317e212bc58f4ea
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spelling	oai:doaj.org-article:4bbf3ccf6ea3472e8317e212bc58f4ea2021-11-25T17:24:31ZJamming and Anti-Jamming Strategies of Mobile Vehicles10.3390/electronics102227722079-9292https://doaj.org/article/4bbf3ccf6ea3472e8317e212bc58f4ea2021-11-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/22/2772https://doaj.org/toc/2079-9292Anti-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.Gleb DubosarskiiSerguei PrimakMDPI AGarticleanti-jamming gamecommunication gamereinforcement learningElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2772, p 2772 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	anti-jamming game communication game reinforcement learning Electronics TK7800-8360
spellingShingle	anti-jamming game communication game reinforcement learning Electronics TK7800-8360 Gleb Dubosarskii Serguei Primak Jamming and Anti-Jamming Strategies of Mobile Vehicles
description	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.
format	article
author	Gleb Dubosarskii Serguei Primak
author_facet	Gleb Dubosarskii Serguei Primak
author_sort	Gleb Dubosarskii
title	Jamming and Anti-Jamming Strategies of Mobile Vehicles
title_short	Jamming and Anti-Jamming Strategies of Mobile Vehicles
title_full	Jamming and Anti-Jamming Strategies of Mobile Vehicles
title_fullStr	Jamming and Anti-Jamming Strategies of Mobile Vehicles
title_full_unstemmed	Jamming and Anti-Jamming Strategies of Mobile Vehicles
title_sort	jamming and anti-jamming strategies of mobile vehicles
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/4bbf3ccf6ea3472e8317e212bc58f4ea
work_keys_str_mv	AT glebdubosarskii jammingandantijammingstrategiesofmobilevehicles AT sergueiprimak jammingandantijammingstrategiesofmobilevehicles
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Jamming and Anti-Jamming Strategies of Mobile Vehicles

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