Mechanism for Optimizing Resource Allocation in VANETs Based on the PSO Bio-inspired Algorithm

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorFederal Institute of São Paulo (IFSP)-
Autor(es): dc.contributorUniversidade Federal de São Carlos (UFSCar)-
Autor(es): dc.contributorBrock University (BrockU)-
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.creatorLieira, Douglas D.-
Autor(es): dc.creatorQuessada, Matheus S.-
Autor(es): dc.creatorCristiani, Andre L.-
Autor(es): dc.creatorDe Grande, Robson E.-
Autor(es): dc.creatorMeneguette, Rodolfo I.-
Data de aceite: dc.date.accessioned2025-08-21T15:24:32Z-
Data de disponibilização: dc.date.available2025-08-21T15:24:32Z-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2021-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/DCOSS54816.2022.00054-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/246035-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/246035-
Descrição: dc.descriptionWith the increase of vehicles in cities and the technology used by these vehicles, there is also a need to use the technology made available by intelligent transport systems in an efficient and agile way. Edge computing services assist in the agile process of exchanging and sharing information and resources between vehicles. However, the limitations of edge services bring the need to optimize resource allocation processes. Thus, in this article we propose the MARIA, a mechanism for optimizing computational resources in Vehicular Ad Hoc Networks based on the particle swarm optimization bio-inspired algorithm. The ease of adaptation to various scenarios by a bio-inspired algorithm is presented in the work. In addition, the MARIA mechanism proved to be efficient when compared with techniques frequently used in the literature and was able to increase the amount of services accepted and reduced the amount of refused services.-
Descrição: dc.descriptionSao Paulo State University, SP-
Descrição: dc.descriptionFederal Institute of São Paulo (IFSP), SP-
Descrição: dc.descriptionFederal University of São Carlos (UFSCar), SP-
Descrição: dc.descriptionBrock University (BrockU)-
Descrição: dc.descriptionUniversity of São Paulo (USP), SP-
Descrição: dc.descriptionSao Paulo State University, SP-
Formato: dc.format283-290-
Idioma: dc.languageen-
Relação: dc.relationProceedings - 18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022-
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Palavras-chave: dc.subjectbio-inspire algorithm-
Palavras-chave: dc.subjectedge computing-
Palavras-chave: dc.subjectparticle swarm optimization-
Palavras-chave: dc.subjectresource allocation-
Título: dc.titleMechanism for Optimizing Resource Allocation in VANETs Based on the PSO Bio-inspired Algorithm-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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