Intelligent Cluster Head Selection for WSNs Using Modified Particle Swarm Optimization

초록

Wireless Sensor Networks (WSNs) play a crucial role in various scientific and industrial applications; however, energy efficiency remains a key challenge affecting sensor node performance and overall network lifespan. Cluster-based hierarchies are commonly employed to optimize energy consumption, with cluster head (CH) selection being a critical factor. Recently, metaheuristic optimization techniques have been leveraged to enhance CH selection, improving network efficiency. This research proposes a modified particle swarm optimization (PSO) algorithm for CH selection to extend network lifetime and enhance energy efficiency. The proposed algorithm is evaluated through simulations and compared with established optimization techniques. Results indicate significant improvements in residual energy, the number of active nodes, and convergence speed, demonstrating the effectiveness of the modified PSO in energyefficient WSN management.