Multi-Group Gorilla Troops Optimizer with Multi-Strategies for 3D Node Localization of Wireless Sensor Networks

The localization problem of nodes in wireless sensor networks is often the focus of many researches. This paper proposes an opposition-based learning and parallel strategies Artificial Gorilla Troop Optimizer (OPGTO) for reducing the localization error. Opposition-based learning can expand the explo...

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Detalles Bibliográficos
Autores principales: Liang, Qingwei, Chu, Shu-Chuan, Yang, Qingyong, Liang, Anhui, Pan, Jeng-Shyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185536/
https://www.ncbi.nlm.nih.gov/pubmed/35684896
http://dx.doi.org/10.3390/s22114275

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185536/
https://www.ncbi.nlm.nih.gov/pubmed/35684896
http://dx.doi.org/10.3390/s22114275

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