An Efficient Multi-Cluster Wireless Sensor Network Based on Optimal Cluster Head Selection Using Particle Swarm Optimization
A multi-cluster WSN model with optimal CH selection (the MO model) in which the CHs are selected by a particle swarm optimization (PSO) algorithm, by solving a multipurpose optimization problem based on three criteria: residual energy, distance between candidate CHs and the base station, and intra-cluster distance.