摘要
针对无线传感器网络的节点自定位问题,提出一种基于单个移动信标的节点定位算法。信标节点周期性地发布自身位置信息,未知节点被动接收该信息得到与移动信标之间的距离,先求取自身位置的近似估计,再利用无迹卡尔曼滤波进行目标跟踪,完成进一步位置求精。未知节点之间无需测距,降低了通信量和能量消耗。仿真结果表明,该方法能够有效提高节点的定位精度,适用于户外部署的大规模无线传感器网络。
Aimed at the node localization problem in wireless sensor networks,a localization scheme based on a single mobile beacon is proposed.In the scheme,the beacon promulgates its location information periodically and the node receives the information passively.Then,the node computes the distance between itself and the mobile beacon.Firstly,the rough location of node is obtained,and then as the mobile beacon moving in the detection area,more accurate location is achieved gradually by unscented Kalman filter（UKF）algorithm.The scheme does not rely on measured distances among neighbors so that the energy consummation is depressed. Simulation results show that the location precision is enhanced and the scheme is suitable for large-scale WSNs which are deployed outdoors.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2011年第5期1135-1138,共4页
Systems Engineering and Electronics
基金
湖北省自然科学基金(2006ABA010)资助课题
