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September 10, 2025

An Energy Efficient Cluster Head Selection in WSN Based on Enhanced Chicken Swarm Optimization

MPMansi PrakashCentral Michigan University DPD. PrakashSathyabama Institute of Science and Technology

Key Points

Energy-efficient cluster head selection improves the overall life span of wireless sensor networks.
The enhanced chicken swarm optimization algorithm effectively selects cluster heads in various scenarios.
Data aggregation incurs costs, but clustering methods help to minimize energy consumption in sensor nodes.
Comparative results show that the proposed technique outperforms existing algorithms in energy savings.

Abstract

Clustering of data are ab effective energy saving method for wireless sensor networks (WSN). However, they incur additional costs in data collections from sensor nodes and sending them to base station (BS) after aggregations. Cluster heads (CHs) in hierarchical cluster-based WSNs use more energy. Therefore, choosing a suitable CHs is essential to conserve energy for sensor nodes and prolong the life of the WSN. Provide energy-saving cluster head selection techniques in this work. where enhanced fuzzy means clustering is used to perform the first cluster construction. Enhanced Chick Swarm optimization (ECSO) selects CHs which is evaluated strictly for varying WSN scenarios and counts of CHs and nodes for values of remaining energies of sensor nodes, sink distances, and distances within clusters. To demonstrate that the proposed technique is superior, the results are compared with those of several other currently used algorithms

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