无线传感器网络中移动节点定位算法研究  

Mobile Node Localization for Wireless Sensor Networks

作　　者：侯守峰[1] 周小佳[1] 闫斌[1] 

机构地区：[1]电子科技大学自动化工程学院,成都611731

出　　处：《小型微型计算机系统》2011年第6期1081-1084,共4页Journal of Chinese Computer Systems

基　　金：四川省科技攻关计划项目(05G007-011-02)资助

摘　　要：提出一种利用临时锚节点的蒙特卡罗箱定位算法.该算法是基于蒙特卡罗定位方法之上,通过引入节点平均速率来获取临时锚节点,并利用一跳范围内的临时锚节点构建最小锚盒、增强样本过滤条件,从而加速了采样和样本过滤.此外,在样本的获取上采用了非随机采样的均衡采样方法,有效地降低了采样次数.仿真结果表明:该算法同蒙特卡罗定位算法等相比,提高了节点的定位精度,降低了节点的能耗.A location algorithm called MBTA（Monte Carlo localization boxed using temporary anchor） which is based on the Monte Carlo localization method is proposed in this paper.In this algorithm,it obtains temporary anchor nodes through the average rate of nodes,meanwhile it constructs the smallest anchor box and enhances the filter using the temporary anchor nodes within one hop in the network,thus accelerating the sample and filter.Besides,it adopts the uniformly sampling method instead of randomly sampling method in the aspect of getting samples,thereby effectively reducing the number of required samples.Simulation results show that MBTA has better performance than MCL and MCB in aspects of the localization accuracy of nodes and energy consumption.

关 键 词：无线传感器网络 定位 移动节点 蒙特卡罗定位 锚节点 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]