Node Localization Method for Wireless Sensor Networks Based on Hybrid Optimization of Particle Swarm Optimization and Differential Evolution

Directing at the locating problem of node location in wireless sensor network, a hybrid optimized method using Dynamic weight partical swarm optimization, Linearization method and Differential Evolution algorithms are proposed in this paper to enhance localization in Wireless sensor Network. Reducing the square error of estimated and measured distance between its adjacent anchor node and unknown node can guarantee a better localization accuracy in DWPSO compared to LM. This paper proposes DE algorithm is used to along with DWPSO to obtain the better localization accuracy. Simulation results indicate that this method provides smaller localization error, higher localization accuracy and better stability performance in DWPSOcompared to LM.