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Optimal Metaheuristic Sparrow Tuba Search Clustering for Load Balancing in Wireless Sensor Networks
M. S. Muthukkumar and S. Diwakaran
Modern communication systems rely heavily on wireless networks to enable seamless connectivity and data transfer among numerous devices and are primarily utilized in many fields. However, the proliferation of different wireless devices and the rising need for high data rates have created considerable hurdles, notably in implementing load balancing to guarantee fair resource distribution among network nodes. In this situation, load balancing in wireless networks has succeeded with clustering approaches. Thus, to reduce energy consumption with increasing network lifespan, this study utilizing the sparrow search algorithm with Tabu Search Clustering (SSA-TSA). The algorithm dynamically modifies cluster formation to maximize resource use and network efficiency. The outcomes show that the proposed SSA-TSA beats the current approaches in load balancing, achieving a more even distribution of network traffic and improving overall throughput. Also, combination of SSA-TSA uses less energy and increase the active nodes than existing approaches like GWO and improved GWO.
Keywords: Sparrow Search Algorithm – Tabu Search Clustering, Metaheuristic algorithm, Energy consumption, cluster head, life span, Wireless sensor networks