Efficient WSN Node Placement by Coupling KNN Machine Learning for Signal Estimations and I-HBIA Metaheuristic Algorithm for Node Position Optimization

Wireless sensor network (WSN) deployment is an intensive field of research. In this paper, we propose a novel approach based on machine learning (ML) and metaheuristics (MH) for supporting decision-makers during the deployment process. We suggest optimizing node positions by introducing a new hybrid...

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Detalles Bibliográficos
Autores principales: Poggi, Bastien, Babatounde, Chabi, Vittori, Evelyne, Antoine-Santoni, Thierry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782644/
https://www.ncbi.nlm.nih.gov/pubmed/36560295
http://dx.doi.org/10.3390/s22249927

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782644/
https://www.ncbi.nlm.nih.gov/pubmed/36560295
http://dx.doi.org/10.3390/s22249927

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