HOP Count Based Energy Efficient Cluster Head Selection Using Leveling and Sectoring
Mohd Nazeer · Research Square · 2023
Abstract WSN are mostly deployed in sensitive location where battery replacement is impossible, which lead to implementation of an energy efficient protocol to extend network life time. In unsupervised machine learning, clustering based hierarchical routing protocols the dissemination of energy occurs mostly due to local communication and cluster head selection, roles of the nodes are changed as cluster member or cluster head to solve fusion and localization problem and manage energy dissemination and increasing the network life time. Nodes can communicate with each other directly or indirectly manner. In this paper the proposed LS-LEACH algorithm solved the problem of optimized cluster head selection by using leveling and sectoring protocol. In LS-LEACH the deployment area is divided into levels and sectors, and selection of the cluster head is done by using hop count matrix. LS-LEACH has been evaluated by performing simulation in OMNET + + simulator and equated with existing EERMS algorithm by considering different metric such as last node death, first node death and network life time. The proposed algorithm can be utilized in various smart IoT based application for optimal cluster head selection.