Hybrid Swarm-Autoencoder Model for Energy-Efficient Robust Clustering in Wireless Sensor Networks

Background: Environmental monitoring and data collection critically depend on wireless sensor networks (WSN). However, the limited battery life of these sensor nodes significantly affects the operational lifetime of the network. This often results in challenges related to energy efficiency and clust...

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Auteurs principaux:	Syed Noor Syed, Geethanjali Nellore
Format:	Artigo
Langue:	Inglês
Publié:	Prague University of Economics and Business 2026-06-01
Collection:	Acta Informatica Pragensia
Sujets:	wireless sensor networks energy-efficient clustering modified salp swarm algorithm deep stacked sparse autoencoder k-means clustering cluster head selection
Accès en ligne:	https://aip.vse.cz/artkey/aip-202602-0007_hybrid-swarm-autoencoder-model-for-energy-efficient-robust-clustering-in-wireless-sensor-networks.php
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