Abstract: In order to improve the location accuracy of wireless sensor network, a novel node localization algorithm of wireless sensor networks is proposed based on improved DV-Hop algorithm. Firstly, the distance error between actual distance and the estimated distance of anchor nodes is analyzed, and the DV-Hop algorithm is used to estimate the localization; secondly, the comprehensive learning particle swarm optimization algorithm is used to correct the localization error of DV-Hop algorithm; finally, the simulation experiment is carried out to test the performance on Matlab 2012 platform. The simulation results show that the proposed algorithm can correct the localization error of DV-Hop algorithm, and improve the localization accuracy of wireless sensor network significantly.

Key words: wireless sensor network, DV-Hop algorithm, comprehensive learning particle swarm optimization algorithm, localization error

摘要： 为了提高无线传感器节点的定位准确性，针对当前算法没有考虑节点分布对无线传感器节点定位性能的影响，提出一种考虑节点分布的无线传感器节点定位算法。分析节点分布对无线传感器节点定位性能的影响，估计锚节点之间的实际距离和估算距离的误差，并采用DV-Hop算法进行初步定位，综合学习粒子群算法对DV-Hop算法的定位误差进行修正，采用多个实验对算法性能测试。实验结果表明，无论在节点分布均匀或分布不均匀条件下，该算法可以较好地修正DV-Hop算法定位误差，均明显提高了未知传感器节点的定位精度。

关键词: 无线传感网络, DV-Hop定位算法, 综合学习粒子群算法, 定位误差