Cargando…
Optimal Cluster Head Selection in WSN with Convolutional Neural Network-Based Energy Level Prediction
Currently, analysts in a variety of nations have developed various WSN clustering protocols. The major characteristic is the Low Energy Adaptive Clustering Hierarchy (LEACH), which attained the objective of energy balance by sporadically varying the Cluster Heads (CHs) in the region. Nevertheless, b...
Autores principales: | Gurumoorthy, Sasikumar, Subhash, Parimella, Pérez de Prado, Rocio, Wozniak, Marcin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781055/ https://www.ncbi.nlm.nih.gov/pubmed/36560287 http://dx.doi.org/10.3390/s22249921 |
Ejemplares similares
-
Collision-Aware Routing Using Multi-Objective Seagull Optimization Algorithm for WSN-Based IoT
por: Jagannathan, Preetha, et al.
Publicado: (2021) -
Synchronous Firefly Algorithm for Cluster Head Selection in WSN
por: Baskaran, Madhusudhanan, et al.
Publicado: (2015) -
A Dual Cluster-Head Energy-Efficient Routing Algorithm Based on Canopy Optimization and K-Means for WSN
por: Wu, Mei, et al.
Publicado: (2022) -
Cluster Head Selection Method for Edge Computing WSN Based on Improved Sparrow Search Algorithm
por: Qiu, Shaoming, et al.
Publicado: (2023) -
A Hybrid Mayfly-Aquila Optimization Algorithm Based Energy-Efficient Clustering Routing Protocol for Wireless Sensor Networks
por: Natesan, Gobi, et al.
Publicado: (2022)