基于粒子群优化算法的WSNs节点定位研究

Research on node localization based on particle swarm optimization for WSNs

为了提高无线传感器网络节点定位的精度,提出一种基于粒子群优化估计的无线传感器网络节点定位算法。该算法简单易实现,可调参数少,通过多次迭代寻优,提高定位精度。仿真结果表明,新算法与常用的极大似然估计算法相比可以显著提高节点定位的精度和稳定度。

In order to improve the localization accuracy,a new localization algorithm was proposed based on particle swarm optimization for wireless sensor networks.The new algorithm is easy to achieve and has a few parameters to adjust.Through multiple iterative optimization,it can improve the localization accuracy.The experimental results show that the localization accuracy and stability of the new algorithm are significantly superior to that of the maximum likelihood estimation algorithm.