A novel evolution localization mechanism in WSN

In order to obtain the geographic positions of random nodes in wireless sensor network (WSN) more accurately, a new localization algorithm is proposed based on improved Particle Swarm Optimization (PSO) and the usage mode of the algorithm is improved. The new algorithm proposes the idea of competition evolution and adaptive weighting; this can enhance the global and local search ability and meanwhile can improve convergence speed. And the new usage mode makes full use of anchor node information. Simulation results and their analysis show preliminarily that the new algorithm is less costly, gives higher location accuracy, and shows robustness to measurement error.