无线传感器网络定位优化算法及其仿真

Optimization-positioning Algorithm in Wireless Sensor Network and Its Simulation

无线传感器网络节点定位是节点信息的重要话题,针对节点定位问题,在基于距离的极大似然估计法定位基础上,为了弥补其受测距误差影响较大的缺点,利用粒子群优化算法实现无线传感器网络节点定位。在论述粒子群算法的基础上,详细论述了基于粒子群优化的极大似然估计法进行节点定位过程。通过MATLAB实验对算法进行了验证,实验表明基于粒子群优化算法的节点定位精度要比极大似然估计法的精度要高,定位性能要比其优越。

Nodes positioning is an important problem in wireless sensor network,for solving this questiong,traditional maximum likelihood estimation（ML） can complete this task,but it has shortcoming.In order to make up it,positioning with particle swarm optimization（PSO） based on maximum likelihood estimation（ML） is introduced.Based on principle of PSO algorithm,course of positioning algorithm is presented in detail.Test is demonstrated by program in MATLAB.The end shows that positioning precision with PSO is higher than with ML.