Wireless Sensor Network Localization Based on PSO Algorithm in NLOS Environment

摘要

The localization accuracy of wireless sensor network(WSN) can be decreased due to the existence of the non-line of sight(NLOS) in real environment. This paper is focused on the NLOS node localization problem for WSN. Firstly, we use the modified Kalman Filter algorithm to reduce the NLOS error according to its distribution model. Moreover, combined with the least square method(LSM) method, the reconstructed measured value is used to estimate the general location of the target node. Finally, the higher localization accuracy can be obtained by applying the particle swarm optimization(PSO) algorithm. The experimental results show that the method can achieve a high localization accuracy in the complex NLOS environment.