Enhanced Pelican Optimization Algorithm for Cluster Head Selection in Heterogeneous Wireless Sensor Networks

In the research of heterogeneous wireless sensor networks, clustering is one of the most commonly used energy-saving methods. However, existing clustering methods face challenges when applied to heterogeneous wireless sensor networks, such as energy balance, node heterogeneity, algorithm efficiency,...

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Detalles Bibliográficos
Autores principales: Wang, Zhen, Duan, Jin, Xu, Haobo, Song, Xue, Yang, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10536519/
https://www.ncbi.nlm.nih.gov/pubmed/37765767
http://dx.doi.org/10.3390/s23187711

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10536519/
https://www.ncbi.nlm.nih.gov/pubmed/37765767
http://dx.doi.org/10.3390/s23187711

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