Autor(es)

Leal, Matheus P. ; Junior, Lourenco A. P. ; Guidoni, Daniel L. ; Goncalves, Vinicius P. ; Rocha Filho, Geraldo P. ; Nakamura, Luis ; Meneguette, Rodolfo I.

• Tipo de documento: Artigo Científico
• Fonte: 2024 IEEE LATIN-AMERICAN CONFERENCE ON COMMUNICATIONS, LATINCOM; v. N/A, p. 6-pg., 2024-01-01.

Resumo

An 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. (AU)

• Processo FAPESP: 22/00660-0 - Gerenciamento de Recursos Dinâmicos para Aplicativos de Sistema de Transporte Inteligente
• Beneficiário: Rodolfo Ipolito Meneguette
• Modalidade de apoio: Auxílio à Pesquisa - Regular