Nash Equilibrium-based Resource Allocation Mechanism in Internet of Vehicles

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorInstituto Tecnológico de Aeronáutica (ITA)-
Autor(es): dc.contributorFederal University of Ouro Preto (UFOP)-
Autor(es): dc.contributorUniversity of Brasilia (UNB)-
Autor(es): dc.contributorState University of Southwest Bahia (UESB)-
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.creatorLeal, Matheus P.-
Autor(es): dc.creatorJunior, Lourenco A. P.-
Autor(es): dc.creatorGuidoni, Daniel L.-
Autor(es): dc.creatorGoncalves, Vinicius P.-
Autor(es): dc.creatorRocha Filho, Geraldo P.-
Autor(es): dc.creatorNakamura, Luis-
Autor(es): dc.creatorMeneguette, Rodolfo I.-
Data de aceite: dc.date.accessioned2025-08-21T15:15:02Z-
Data de disponibilização: dc.date.available2025-08-21T15:15:02Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2023-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/LATINCOM62985.2024.10770679-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/310019-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/310019-
Descrição: dc.descriptionAn increasing number of research topics, including the Internet of Vehicles, have emerged and developed as a result of 5G and 6G mobile networks. Nonetheless, a number of issues have to be addressed in this context, particularly with regard to applications of the Intelligence Transportation System, which have high mobility rates and are very susceptible to delays. Because of these issues, using traditional vehicular clouds is challenging because the minimal quality of service standards are not satisfied. In order to allocate resources to environments that use cloud and edge simultaneously, we therefore propose METRO, a Nash equilibrium-based resource allocation mechanism. The effectiveness of the approach was verified using a Vehicle-to-Everything simulation environment, which contrasted a straightforward random algorithm with a metaheuristic algorithm called GWO. METRO thus had superior load.-
Descrição: dc.descriptionSão Paulo State University (UNESP) Department of Computer Science-
Descrição: dc.descriptionInstituto Tecnológico de Aeronáutica (ITA) Department of Computer Science-
Descrição: dc.descriptionFederal University of Ouro Preto (UFOP) Department of Computer Science-
Descrição: dc.descriptionUniversity of Brasilia (UNB) Department of Computer Science-
Descrição: dc.descriptionState University of Southwest Bahia (UESB) Department of Exact and Technological Sciences, BA-
Descrição: dc.descriptionUniversity of São Paulo (USP) Department of Computer System-
Descrição: dc.descriptionSão Paulo State University (UNESP) Department of Computer Science-
Idioma: dc.languageen-
Relação: dc.relation2024 IEEE Latin-American Conference on Communications, LATINCOM 2024 - Proceedings-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectCloud Computing-
Palavras-chave: dc.subjectGame Theory-
Palavras-chave: dc.subjectResource Allocation-
Palavras-chave: dc.subjectV2X-
Palavras-chave: dc.subjectVehicular Edge Computing-
Título: dc.titleNash Equilibrium-based Resource Allocation Mechanism in Internet of Vehicles-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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