Optimization of the Task Allocation Process in VEC with the GWO Bioinspired Algorithm

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.contributorUniversity of Manchester-
Autor(es): dc.contributorBrock University-
Autor(es): dc.creatorLieira, Douglas Dias-
Autor(es): dc.creatorQuessada, Matheus Sanches-
Autor(es): dc.creatorNakamura, Luis Hideo Vasconcelos-
Autor(es): dc.creatorSampaio, Sandra-
Autor(es): dc.creatorDe Grande, Robson E.-
Autor(es): dc.creatorMeneguette, Rodolfo Ipolito-
Data de aceite: dc.date.accessioned2025-08-21T15:10:56Z-
Data de disponibilização: dc.date.available2025-08-21T15:10:56Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2022-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.23919/CISTI58278.2023.10211659-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/306413-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/306413-
Descrição: dc.descriptionVehicular Edge Computing (VEC) helps intelligent transportation systems deliver information and process data efficiently, at low latency. However, with the continuous exponential increases in number of interconnected intelligent vehicles, managing massive amounts of data generated in vehicular networks becomes a great challenge. This work proposes ATARY, a method for optimizing task allocation processes in VECs using the Grey Wolf optimization (GWO) algorithm. GWO has been especially adapted to model VEC task allocation as wolves' hunting behaviour. Through a number of vehicle mobility and communication simulations, we show that ATARY is more efficient than some of the most widely used state-of-the-art mechanisms in number of allocated tasks, denied/lost services and resource usage.-
Descrição: dc.descriptionIfsp Catanduva/UNESP, SP-
Descrição: dc.descriptionUNESP/Brock University, SP-
Descrição: dc.descriptionIfsp Catanduva/USP, SP-
Descrição: dc.descriptionUniversity of Manchester-
Descrição: dc.descriptionBrock University-
Descrição: dc.descriptionUniversity of Sao Paulo - Usp, SP-
Descrição: dc.descriptionIfsp Catanduva/UNESP, SP-
Descrição: dc.descriptionUNESP/Brock University, SP-
Idioma: dc.languageen-
Relação: dc.relationIberian Conference on Information Systems and Technologies, CISTI-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectGWO-
Palavras-chave: dc.subjectTask Allocation-
Palavras-chave: dc.subjectV2V-
Palavras-chave: dc.subjectVEC-
Título: dc.titleOptimization of the Task Allocation Process in VEC with the GWO Bioinspired Algorithm-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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