A multimetric predictive ANN-based routing protocol for vehicular ad hoc networks

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Autores: Lemus Cárdenas, Leticia, Mezher, Ahmad Mohamad|||0000-0003-3263-0122, Barbecho Bautista, Pablo Andrés|||0000-0002-5281-9208, Astudillo León, Juan Pablo|||0000-0002-7291-3584, Aguilar Igartua, Mónica|||0000-0002-6518-888X
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/353085
Acceso en línea:https://hdl.handle.net/2117/353085
https://dx.doi.org/10.1109/ACCESS.2021.3088474
Access Level:acceso abierto
Palabra clave:Vehicular ad hoc networks (Computer networks)
Data protection
Multimetric routing protocol
Artificial neural networks
Vehicular networks
Xarxes vehiculars ad hoc (Xarxes d'ordinadors)
Encaminament (Gestió de xarxes d'ordinadors)
Protecció de dades
Routing (Computer network management)
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors::Trànsit de dades
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
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oai_identifier_str oai:upcommons.upc.edu:2117/353085
network_acronym_str ES
network_name_str España
repository_id_str
dc.title.none.fl_str_mv A multimetric predictive ANN-based routing protocol for vehicular ad hoc networks
title A multimetric predictive ANN-based routing protocol for vehicular ad hoc networks
spellingShingle A multimetric predictive ANN-based routing protocol for vehicular ad hoc networks
Lemus Cárdenas, Leticia
Vehicular ad hoc networks (Computer networks)
Data protection
Multimetric routing protocol
Artificial neural networks
Vehicular networks
Xarxes vehiculars ad hoc (Xarxes d'ordinadors)
Encaminament (Gestió de xarxes d'ordinadors)
Protecció de dades
Routing (Computer network management)
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors::Trànsit de dades
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
title_short A multimetric predictive ANN-based routing protocol for vehicular ad hoc networks
title_full A multimetric predictive ANN-based routing protocol for vehicular ad hoc networks
title_fullStr A multimetric predictive ANN-based routing protocol for vehicular ad hoc networks
title_full_unstemmed A multimetric predictive ANN-based routing protocol for vehicular ad hoc networks
title_sort A multimetric predictive ANN-based routing protocol for vehicular ad hoc networks
dc.creator.none.fl_str_mv Lemus Cárdenas, Leticia
Mezher, Ahmad Mohamad|||0000-0003-3263-0122
Barbecho Bautista, Pablo Andrés|||0000-0002-5281-9208
Astudillo León, Juan Pablo|||0000-0002-7291-3584
Aguilar Igartua, Mónica|||0000-0002-6518-888X
author Lemus Cárdenas, Leticia
author_facet Lemus Cárdenas, Leticia
Mezher, Ahmad Mohamad|||0000-0003-3263-0122
Barbecho Bautista, Pablo Andrés|||0000-0002-5281-9208
Astudillo León, Juan Pablo|||0000-0002-7291-3584
Aguilar Igartua, Mónica|||0000-0002-6518-888X
author_role author
author2 Mezher, Ahmad Mohamad|||0000-0003-3263-0122
Barbecho Bautista, Pablo Andrés|||0000-0002-5281-9208
Astudillo León, Juan Pablo|||0000-0002-7291-3584
Aguilar Igartua, Mónica|||0000-0002-6518-888X
author2_role author
author
author
author
dc.subject.none.fl_str_mv Vehicular ad hoc networks (Computer networks)
Data protection
Multimetric routing protocol
Artificial neural networks
Vehicular networks
Xarxes vehiculars ad hoc (Xarxes d'ordinadors)
Encaminament (Gestió de xarxes d'ordinadors)
Protecció de dades
Routing (Computer network management)
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors::Trànsit de dades
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
topic Vehicular ad hoc networks (Computer networks)
Data protection
Multimetric routing protocol
Artificial neural networks
Vehicular networks
Xarxes vehiculars ad hoc (Xarxes d'ordinadors)
Encaminament (Gestió de xarxes d'ordinadors)
Protecció de dades
Routing (Computer network management)
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors::Trànsit de dades
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
description © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-06-11
2021
2021-10-06
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/353085
https://dx.doi.org/10.1109/ACCESS.2021.3088474
url https://hdl.handle.net/2117/353085
https://dx.doi.org/10.1109/ACCESS.2021.3088474
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers (IEEE)
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers (IEEE)
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling A multimetric predictive ANN-based routing protocol for vehicular ad hoc networksLemus Cárdenas, LeticiaMezher, Ahmad Mohamad|||0000-0003-3263-0122Barbecho Bautista, Pablo Andrés|||0000-0002-5281-9208Astudillo León, Juan Pablo|||0000-0002-7291-3584Aguilar Igartua, Mónica|||0000-0002-6518-888XVehicular ad hoc networks (Computer networks)Data protectionMultimetric routing protocolArtificial neural networksVehicular networksXarxes vehiculars ad hoc (Xarxes d'ordinadors)Encaminament (Gestió de xarxes d'ordinadors)Protecció de dadesRouting (Computer network management)Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadorsÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors::Trànsit de dadesÀrees temàtiques de la UPC::Enginyeria de la telecomunicació© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Vehicular networks support intelligent transportation system (ITS) to improve drivers’ safety and traffic efficiency on the road by exchanging traffic-related information between vehicles and also between vehicles and infrastructure. Routing protocols that are designed for vehicular networks should be flexible and able to adapt to the inherent dynamic network characteristics of these kind of networks. Therefore, there is a need to have effective vehicular communications, not only to make mobility more efficient but also to reduce collateral issues such as pollution and health problems. Nowadays, the use of machine learning (ML) algorithms in wireless networks are on the rise, including vehicle networks that can benefit from possible data-driven predictions. This work aims to contribute to the design of a smart ML-based routing protocol for vehicular ad hoc networks (VANETs) used to report traffic-related messages in urban environments. We propose a new ML-based forwarding algorithm to be used by the current vehicle holding a given packet to predict which vehicle within its transmission range is the best next-hop to forward that packet towards its destination. Our algorithm is based on a neural network designed from a dataset that contains data records that are captured during simulated urban scenarios. Simulation results show how our ML-based proposal improves the performance of our multimetric routing protocol for VANETs in urban scenarios in terms of packet delivery probability. The performance evaluation of MPANN shows packet losses lower than 20% (and average packet delays below 0.04 ms) for different vehicles’ densities, in completely new scenarios but of similar complexity than the Barcelona scenario used to train the model. Even for much more complex scenarios (with narrow curvy streets), our proposal is able to reduce the packet losses in 20% with respect to the multimetric routing protocol as well as the average packet delays in 0.04 ms.This work was supported by the Spanish Government under Research Project sMArt Grid using Open Source intelligence (MAGOS) under Grant TEC2017-84197-C4-3-R. The work of Pablo Andrés Barbecho Bautista was supported by the Secretaría Nacional de Educación Superior, Ciencia y Tecnología (SENESCYT). The work of Leticia Lemus Cárdenas was supported by the Academic Coordination of the University of Guadalajara, México.Peer ReviewedInstitute of Electrical and Electronics Engineers (IEEE)20212021-06-1120212021-10-06journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/353085https://dx.doi.org/10.1109/ACCESS.2021.3088474reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3530852026-05-27T15:37:01Z
score 15.300724

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