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Efficient Re-clustering with Novel Fuzzy Based Grey Wolf Optimization for Hotspot Issue Mitigation and Network Lifetime Enhancement
M. Preetha, R. Prabha, M. Deivakani and V. Tamil Selvi
The study intends to employ Pre-deterministic Key Distribution (PKD) approach to choose a route that comprises of high verification nodes. The research executes to improve Load Balancing (LB) upon numerous participating nodes in network through the usage of Dynamic Energy-aware Routing (DER). Finally, the study aims to extend lifetime of WSN using proposed novel Fuzzy based Grey Wolf Optimization (FUZZY-GWO) which is an appropriate re-clustering method that resolves the hotspot issue. Subsequently, key distribution is implemented on the basis of Fraudulent Traffic Rate (FTR). Subsequently, sensor selection strategy is done. In the course of time, re-clustering is executed by using proposed novel FUZZY-GWO. The proposed system is evaluated by correlating it with various well-established methods with respect to metrics like average residual energy, energy consumption, average delay, Packet Delivery Ratio (PDR), dead nodes and number of alive nodes. The investigational outcomes of study reveals the efficacy of proposed novel FUZZY-GWO.
Keywords: Wireless Sensor Network, Hotspot Issue, Re-Clustering, Fuzzy based Grey Wolf Optimization and Attack information