Multiobjective planning of indoor Wireless Local Area Networks using subpermutation-based hybrid algorithms.

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorLima, Marlon Paolo-
Autor(es): dc.creatorTakahashi, Ricardo Hiroshi Caldeira-
Autor(es): dc.creatorVieira, Marcos Augusto Menezes-
Autor(es): dc.creatorCarrano, Eduardo Gontijo-
Data de aceite: dc.date.accessioned2025-08-21T15:07:56Z-
Data de disponibilização: dc.date.available2025-08-21T15:07:56Z-
Data de envio: dc.date.issued2023-06-30-
Data de envio: dc.date.issued2023-06-30-
Data de envio: dc.date.issued2022-
Fonte completa do material: dc.identifierhttp://www.repositorio.ufop.br/jspui/handle/123456789/16839-
Fonte completa do material: dc.identifierhttps://www.sciencedirect.com/science/article/pii/S0950705123000436-
Fonte completa do material: dc.identifierhttps://doi.org/10.1016/j.knosys.2023.110293-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1003152-
Descrição: dc.descriptionWireless Local Area Network (WLAN) has become the most popular technology for mobile Internet access in recent decades. This manuscript presents a novel approach, based on hybrid optimization algorithms, for planning WLANs. Two objective functions are optimized: to maximize network load balance and signal-to-noise ratio. In addition, constraints related to coverage, customer, and equipment demand are considered. A key aspect of the proposed algorithm is its new representation/decoding scheme, based on subpermutations, which considerably reduces the search space dimension. This structure guarantees feasibility of the obtained solutions and increases the computational efficiency of the method. Several tests were performed in two scenarios, one of them using real data from a large-scale WLAN. When compared to other three approaches, such results show that the proposed method provides solutions that reduce costs and improve the WLAN throughput.-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Direitos: dc.rightsrestrito-
Palavras-chave: dc.subjectWLAN planning-
Palavras-chave: dc.subjectMultiobjective optimization-
Palavras-chave: dc.subjectHybrid algorithms-
Palavras-chave: dc.subjectSubpermutations-
Título: dc.titleMultiobjective planning of indoor Wireless Local Area Networks using subpermutation-based hybrid algorithms.-
Aparece nas coleções:Repositório Institucional - UFOP

Não existem arquivos associados a este item.