为了进一步提高无线传感器网络未知节点定位精度,以微粒群算法为理论基础,加入传感器网络的特征,提出微粒群定位算法。该算法依据未知节点接收到的到锚节点的距离信息,直接搜索出未知节点的位置。实验结果表明微粒群定位算法拥有更高的定位精度,并且抗测距误差更强的优点。
This paper presents a new localization algorithm for unknown nodes of wireless sensor networks to further improve their localization precision. Theoretical foundation of the algorithm is particle swarm optimization. The algorithm also takes the characteristics of wireless sensor networks into account. It can directly derive the coordinates of unknown nodes from the distances of unknown nodes to anchor nodes. Experimental results show that the algorithm can achieve higher positioning accuracy and can tolerate larger distance error.