摘要
针对无线传感器网络中节点定位精度的问题,提出了一种基于距离和Cramer-Rao下界的信标优化选择算法。该算法通过分析信标与节点间的距离和位置拓扑关系对定位精度的影响,选择CRLB值最小的信标子集进行位置估计,减少节点定位误差。仿真结果表明,该方法较大地提高了定位精度,降低了计算量,为合理选择信标子集提供了依据。
For the problem of localization accuracy in wireless sensor network,this paper proposed an optimal selection algorithm of beacons based on distance and CRLB. Analyzed the impact of distance and geometry between beacons and node,and then selected a specific subset of beacons that minimize the CRLB over all possible subsets. The experiment and simulation results show that the proposed algorithm performs well compare with the beacon selection algorithm based on distance,and meanwhile,it also provides reference for selecting an optimal beacon subset to improve localization accuracy or reduce computation.
出处
《计算机应用研究》
CSCD
北大核心
2010年第12期4695-4697,共3页
Application Research of Computers
基金
国家自然科学基金资助项目(60703099)