基于EKF的无线传感器网络移动信标定位算法  

Mobile Beacon Localization Algorithm Based on EKF for Wireless Sensor Network

作　　者：占宏[1] 黎善斌[1] 胥布工[1] 

机构地区：[1]华南理工大学自动化科学与工程学院,广东广州510640

出　　处：《电视技术》2012年第5期95-98,共4页Video Engineering

基　　金：国家自然科学基金-广东省联合基金项目(U0735003);中央高校基本科研业务费专项基金项目(2009ZM0076);高等学校博士点基金项目(20100172120028)

摘　　要：针对无线传感器网络节点定位精度较低的问题,提出一种基于扩展卡尔曼滤波的移动信标节点定位算法。该算法采用等距三重优化覆盖思想确定虚拟信标分布,利用蚁群算法获取最优遍历路径,同时引入扩展卡尔曼滤波算法以提高节点定位精度。通过对节点通信半径、虚拟信标数目、路径长度、迭代次数等参数分别进行仿真验证,结果表明本文算法定位精度明显优于普通质心定位算法,同时该算法在提高网络覆盖度、降低网络成本等方面也有较大优势。A mobile beacon localization algorithm based on Extended Kalman Filter （EKF） is proposed to improve the precision of Wireless Sensor Net- work （WSN）. The algorithm adopts a virtual beacons dep｜oyment based on equilateral triple optimal coverage. And it uses tile ant colony algorithm （ACA） to get the optimal path when mobile beacons tour all the virtual beacons. The EKF algorithm is also introduced to further increase the location precision. The simulation is carried out by the different node communication radius, virtual beacon number, path length and iteration times. And the re- suits show that the location precision is much better than the ordinary centroid localization algorithm. This algorithm also increases coverage greatly and reduces cost of the network.

关 键 词：无线传感器网络 移动信标 节点定位 扩展卡尔曼滤波 

分 类 号：TN919.83[电子电信—通信与信息系统]