无线传感器网络节点定位的仿真研究

摘要

Research wireless sensor network node localization problem (WSN). In view of the high errors in cur-rent node localization algorithm and to meet the needs of low cost of WSN, low power requirements, this paper put forward a new WSN node combined positioning method. Firstly, DV-Hop algorithm was usied to localize the distance between unknown and anchor nodes. And then, the particle swarm optimization algorithm was used to optimize the re-sults af DV-Hop algorithm to improve the precision. The simulation experiment is carried out on the Matlah 2009 platform. The simulation results show that, compared with the DV-Hop algorithm and particle swarm optimization al-gorithm, the proposed method improves the average precision of sensor node localization, effectively reduces the cost, and is a feasible WSN node positioning solution.%研究无线传感器网络(WSN)节点定位精度问题,针对当前单一节点定位算法的定位误差大的难题,更好的满足WSN的低成本、低功耗要求,提出一种DV-Hop算法和粒子群优化算法相结合的WSN节点定位方法.首先采用DV-Hop算法对未知传感器节点与锚节点之间的距离进行估计,然后采用粒子群优化算法对未知传感器节点坐标进行校正,在不增加额外硬件的条件下,提高节点定位精度.在Matlab平台上进行仿真,结果表明,在相同条件下,改进的组合算法提高了传感器节点定位的平均精度,而且为WSN的节点定位优化设计提供了参考,是一种可行的WSN节点定位的解决方案.