Dynamic Low Power Clustering Strategy in MWSN

Wireless Sensor Networks (WSNs) have emerged as a pivotal technology interlinked with numerous burgeoning sectors.Myriad sensor nodes, diverse in nature, constitute these networks, which are dispersed within a given environment to collect and relay pertinent data to a central station.Given the typical deployment of sensor nodesbearing limited energy reserves and often stationed at extensive distances for prolonged periods-energy conservation becomes a paramount concern for enhancing the network's lifespan.One avenue explored to address this challenge involves the clustering of sensor nodes within the network.This study introduces a dynamic approach for clustering nodes in WSNs, designed to accommodate mobile nodes.The approach leverages an enhanced version of the k-means algorithm in tandem with a novel cluster head selection method, capable of clustering even moving nodes.This strategy proposes an innovative solution to select cluster heads, aiming to reduce the energy consumption of nodes and augment reliability during data transmission within sensor networks.