G-3MRP: a game-theoretical multimedia multimetric map-aware routing1 protocol for vehicular ad hoc networks
| Autor: | Mohamad Mezher, Ahmad, Aguilar Igartua, Mónica |
|---|---|
| Přispěvatelé: | Universitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica, Universitat Politècnica de Catalunya. SISCOM - Smart Services for Information Systems and Communication Networks |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Vehicular ad hoc networks
Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors::Xarxes de banda ampla [Àrees temàtiques de la UPC] Xarxes vehiculars ad hoc (Xarxes d'ordinadors) Multimetric routing protocol Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors::Protocols de comunicació [Àrees temàtiques de la UPC] Vehicular ad hoc networks (Computer networks) Routing (Computer network management) Encaminament (Gestió de xarxes d'ordinadors) Video reporting service Game theory |
| Popis: | © 2022 Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ The particular requirements and special features of vehicular ad hoc networks (VANETs) (e.g., special mo8 bility patterns, short link lifetimes, rapid topology changes) involve challenges for the research community. 9 One of these challenges is the development of new routing protocols specially designed for VANETs. In 10 this paper, we present a novel game-theoretical approach of a multimetric geographical routing protocol for 11 VANETs to forward video-reporting messages in smart cities. Game theory is considered a very interesting 12 theoretical framework to analyze and optimize resource allocation problems in digital communication sce13 narios. Our contribution has shown to enhance the overall performance of VANETs in urban scenarios, in 14 terms of percentage of packet losses, average end-to-end packet delay and peak signal to noise ratio (PSNR). This work was supported by the Spanish Government under research project “Enhancing Communication Protocols with Machine Learning while Protecting Sensitive Data (COMPROMISE)” PID2020-113795RB-C31, funded by MCIN/AEI/10.13039/501100011033. Ahmad M. Mezher holds a McCain Postdoctoral Fellowship in Innovation with the Electrical and Computer Engineering department at the University of New Brunswick (UNB), Canada . |
| Databáze: | OpenAIRE |
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