Study of node localization algorithm based on improved particle swarm optimization and RSSI for WSNs

Abstract

Based on RSSI ranging and trilateration positioning, an improved particle swarm optimization combined with RSSI self-correcting localization algorithm for Wireless Sensor Networks was proposed. Simulation results showed that the accuracy of this algorithm increased by almost 30% than trilateration, while improving the particle swarm optimization algorithm which may hardly converge to the optimal solution as falling into the local extreme area . This algorithm obtained better solution than node localization based on particle swarm optimization for WSNs, and then enhance the stability and convergence of the algorithm. © 2011 Springer-Verlag.