Binary Dragonfly Algorithm with Semicircular Mobility for Multi-Objective Optimization of Underwater Wireless Sensor Networks

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AudienciaPúblico en generales_ES
CoberturaMéxicoes_ES
Fecha de ingreso2026-09-15T00:30:03Z
Fecha de publicación2026-01-01
ResumenUnderwater wireless sensor networks (UWSNs) support critical applications such as environmental monitoring, offshore exploration, and surveillance; however, their performance is constrained by high propagation delay, limited energy resources, and node mobility caused by ocean dynamics. Many clustering approaches assume static nodes and use fixed-weight objective aggregation, which may reduce adaptability and lead to premature convergence. This paper proposes a cluster-head selection and cluster formation method for UWSNs based on a binary multi-objective Dragonfly Algorithm (BMDA-UWSN). The method considers energy consumption, acoustic latency, and load balance within a Pareto-based optimization framework, thereby reducing dependence on fixed-weight aggregation during the search stage. In addition, the Dragonfly-based optimization process uses dynamically adjusted coefficients to regulate the balance between exploration and exploitation while preserving solution diversity. To represent underwater node displacement, a semicircular mobility model with angular variation of ±45° is incorporated into the simulation scenario. Results obtained for a 100-node network show that BMDA-UWSN achieved better performance than Direct Transmission, LEACH, LEACH-C, SS-GSO, and CDFO-UWSN in terms of network lifetime, packet delivery, latency, and residual energy under the evaluated conditions. In particular, the first node dies at iteration 126 with BMDA-UWSN, compared with iteration 95 for CDFO-UWSN, while packet delivery increases by approximately 20% and latency decreases by about 5%. These findings suggest that BMDA-UWSN is a competitive clustering approach for underwater monitoring scenarios when evaluated under controlled node mobility conditions.es_ES
Doihttps://doi.org/10.3390/telecom7030055es_ES
URIhttps://riuat.uat.edu.mx/handle/123456789/1999
Idiomaeses_ES
EditorialMDPI AGes_ES
RelaciónTelecomes_ES
URL relacionadohttps://doi.org/10.3390/telecom7030055es_ES
DerechosAcceso abierto (Metadatos de producción científica)es_ES
Licenciahttp://purl.org/coar/access_right/c_abf2es_ES
FuenteTelecom
TítuloBinary Dragonfly Algorithm with Semicircular Mobility for Multi-Objective Optimization of Underwater Wireless Sensor Networkses_ES
TipoArtículoes_ES
ArbitradoHa sido Arbitradoes_ES
AutorVázquez, Eduardo
AutorMendez, Aldo
AutorGarza, Leopoldo A.
AutorReyna, Alberto
AutorRomero, Gerardo
AutorVázquez, Eduardoes_ES
AutorMendez, Aldoes_ES
AutorGarza, Leopoldo A.es_ES
AutorReyna, Albertoes_ES
AutorRomero, Gerardoes_ES
InstituciónUniversidad Autónoma de Tamaulipas
InstituciónUniversidad Autónoma de Tamaulipases_ES
Número3es_ES
Rango de páginas55es_ES
URL relacionadahttps://doi.org/10.3390/telecom7030055
Tipo de artículoIndexado
Tipo de artículoIndexadoes_ES
Volumen7es_ES

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