基于PSO优化LSSVR的三维WSN节点定位方法

localization method based on LSSVR optimized by particle swarm optimization (PSO) algorithm is proposed in this paper. Firstly, the three-dimensional(3D) node localization model is built through least squares support vector regression (LSSVR) and the kernel function parameters and the regularization parameters are optimized by PSO algorithm. Then, the fitness function of the particle swarm optimization algorithm is constructed according to the mean square error of a number of virtual nodes from the predicted position and their actual position, and the global optimal parameters of LSSVR is acquired through limited modeling parameters iterative searching method. Finally, the LSSVR optimized by PSO algorithm is used to realize the node localization. The simulation results show that the localization accuracy of the proposed algorithm is superior to that of least square (LS) and LSSVR methods.