Efficient Network Restoration Model in WSN Using Genetic Algorithm for XG Applications

Abstract

Wireless sensor networks WSNs play a vital role in diverse applications requiring efficient routing for reliable communication Cluster based routing ensures secure data transfer but faces challenges like traffic analysis node localization and scalability This research proposes innovative solutions including the fuzzy clustering based genetic evolutionary FCGE algorithm for optimized re localization the swarm genetic algorithm influenced cluster based routing protocol SG cluster RP for energy efficiency and the cluster based genetic routing protocol CGRP for scalability FCGE enhances localization accuracy SG cluster RP extends network lifetime and CGRP reduces latency Experimental results confirm their effectiveness in improving WSN performance ensuring adaptability and efficiency across various applications.