Distributed Localization for Wireless Sensor Networks Using Binary Particle Swarm Optimization (BPSO)

In this paper, we propose binary particle swarm optimization (BPSO) algorithm for distributed node localization in wireless sensor networks (WSNs). Each unknown node performs localization under the measurement of distances from three or more neighboring anchors. The node that gets localized during iteration will be used as a reference for remaining nodes. A comparison of the performances of PSO, basic BPSO and modified BPSO in terms of localization error and computation time is presented using simulation in Matlab.