Whale Optimization Based Energy-Efficient Cluster Head Selection Algorithm for Wireless Sensor Networks
Ashwin R Jadhav, T.Shankar

TL;DR
This paper introduces WOA-C, an energy-efficient cluster head selection algorithm for wireless sensor networks based on the Whale Optimization Algorithm, improving network lifetime and stability.
Contribution
It proposes a novel WOA-based clustering algorithm that optimizes energy-aware cluster head selection considering residual and neighboring node energy.
Findings
Enhanced network lifetime and energy efficiency
Longer stability period compared to existing protocols
Superior residual energy and throughput in simulations
Abstract
Wireless Sensor Network (WSN) consists of many individual sensors that are deployed in the area of interest. These sensor nodes have major energy constraints as they are small and their battery can't be replaced. They collaborate together in order to gather, transmit and forward the sensed data to the base station. Consequently, data transmission is one of the biggest reasons for energy depletion in WSN. Clustering is one of the most effective techniques for energy efficient data transmission in WSN. In this paper, an energy efficient cluster head selection algorithm which is based on Whale Optimization Algorithm (WOA) called WOA-Clustering (WOA-C) is proposed. Accordingly, the proposed algorithm helps in selection of energy aware cluster heads based on a fitness function which considers the residual energy of the node and the sum of energy of adjacent nodes. The proposed algorithm is…
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Taxonomy
TopicsEnergy Efficient Wireless Sensor Networks · Indoor and Outdoor Localization Technologies · Security in Wireless Sensor Networks
