PSO-based Load Balancing with Geographic Routing using Greedy Perimeter Stateless Routing (PSO-GPSR) for Wireless Sensor Networks (WSNs)

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B NARASIMHAN
Dr. B. Karthikeyan

Abstract

PSO-GPSR (Particle Swarm Optimization-based Load Balancing with Geographic Routing using Greedy Perimeter Stateless Routing), a unique strategy designed specifically for WSNs, is presented in this work. Using Particle Swarm Optimization (PSO) to provide load balancing across sensor nodes, the proposed PSO-GPSR technique reduces energy disparities and increases the operational lifetime of the network. Additionally, it interfaces with the geographic routing protocol Greedy Perimeter Stateless Routing (GPSR) to enable effective data forwarding based on geographic locations, minimizing communication overhead and improving scalability. PSO-GPSR's efficacy is shown against traditional load balancing and routing methods via comprehensive simulations and performance assessments. The network lifetime, energy efficiency, throughput, packet delivery ratio, and delay have all significantly showed better performance, according to the results. Additionally, the PSO-GPSR algorithm demonstrates robustness against node failures and issues related to scalability, indicating a significant potential for real-world implementation in various WSN scenarios.

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