为了进一步提高无线传感器网络未知节点定位精度,将节点定位问题和微粒群算法结合在一起,提出了基于微粒群算法的节点定位算法。该算法是一种基于距离的定位算法,根据未知节点到锚节点的距离直接搜索出未知节点的坐标。实验结果表明,和一般的固定节点定位算法相比,该算法具有更高的定位精度,并适用于移动节点的追踪定位。
To further enhance the location precision of unknown nodes in wireless sensor networks, a localization method based on particle swarm optimization is presented, through the combination of wireless sensor network and particle swarm optimization, which is dependent on distance. It can directly search out the coordinates of unknown nodes by the distance from anchor nodes to unknown nodes. As is shown in the experimental results, compared to the normal location algorithms of fixed nodes,this method has higher positioning accuracy and can be applied to the tracking of moving nodes.