A Historic-Best Particle Swarm Optimization Approach for Trust-based Routing in Smart Grid Networks

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Autor(es): dc.contributorSri Krishna College of Engineering and Technology-
Autor(es): dc.contributorKarunya Institute of Technology & Sciences-
Autor(es): dc.contributorAlagappa Chettiar College of Engineering and Technology-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorKumar, G. Edwin Prem-
Autor(es): dc.creatorSelvakumar, A. Immanuel-
Autor(es): dc.creatorLydia, M.-
Autor(es): dc.creatorBaskaran, K.-
Autor(es): dc.creatorJodas, Danilo-
Autor(es): dc.creatorPassos, Leandro A.-
Autor(es): dc.creatorPapa, Joao P.-
Data de aceite: dc.date.accessioned2025-08-21T20:53:29Z-
Data de disponibilização: dc.date.available2025-08-21T20:53:29Z-
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/10.1109/IWSSIP58668.2023.10180289-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/305972-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/305972-
Descrição: dc.descriptionThe increasing energy demand and distributed generation required the electric power grid's modernization and paved the way for Smart Grid Networks (SGN). Such networks employ power and information flow to monitor and control the power grid through digital communication technologies. Managing such information towards data acquisition and routing plays a significant role in SGN since routing on the smart grids requires several steps regarding the communication network. It has been shown that wireless sensor networks (WSNs) improve several processes in the smart grid industry. This paper proposes a trust-aware routing-based version of the Particle Swarm optimization (PSO), the Historic-Best PSO. The paper employs such a technique in trust-aware compressed sensing-based data aggregation in clustered WSNs to improve communication. The model's performance is evaluated against two other nature-inspired algorithms for routing optimization in SGN.-
Descrição: dc.descriptionSri Krishna College of Engineering and Technology, Tamil Nadu-
Descrição: dc.descriptionKarunya Institute of Technology & Sciences, Tamil Nadu-
Descrição: dc.descriptionSri Krishna College of Engineering and Technology-
Descrição: dc.descriptionAlagappa Chettiar College of Engineering and Technology, Tamil Nadu-
Descrição: dc.descriptionSão Paulo State University (UNESP)-
Descrição: dc.descriptionSão Paulo State University (UNESP)-
Idioma: dc.languageen-
Relação: dc.relationInternational Conference on Systems, Signals, and Image Processing-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectCompressed Sensing-
Palavras-chave: dc.subjectParticle Swarm optimization-
Palavras-chave: dc.subjectSmart Grids-
Palavras-chave: dc.subjectTrust-based Routing-
Título: dc.titleA Historic-Best Particle Swarm Optimization Approach for Trust-based Routing in Smart Grid Networks-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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