基于区间分析的WSNs定位算法  

WSNs localization alogrithm based on interval analysis

作　　者：方余丞 王洪诚[2] 崔胜利[2] 何俊儒[1] 朱骏[2] 

机构地区：[1]西南石油大学机电工程学院,四川成都610500 [2]西南石油大学电气信息学院,四川成都610500

出　　处：《传感器与微系统》2016年第4期141-143,147,共4页Transducer and Microsystem Technologies

摘　　要：为了降低接收信号强度指示(RSSI)的测量误差对节点定位精度的影响并提高算法的鲁棒性,提出一种新的基于区间分析的无线传感器网络(WSNs)定位算法。该算法在测距阶段运用自助抽样法消除RSSI的测量误差并构建测距的置信区间;在定位阶段,结合B-box定位法和集员辨识求出未知节点位置坐标的可行解集,通过网格扫描得到未知节点的估算位置。该算法通过仿真分析验证了可行性,并与传统的定位算法进行了误差比较,实验结果表明:该算法具有更高的定位精度且鲁棒性更好。To reduce effect of measurement error of received signal strength indication（ RSSI） on localization precision of node and improve robustness of algorithm, propose a new wireless sensor networks（ WSNs）localization algorithm based on interval analysis. This algorithm uses bootstrap sampling method in ranging phase to eliminate measurement error of RSSI and build confidence intervals of ranging; in positioning phase,solve set of feasible solution sets of unknown node position coordinates,combined with B-box positioning method and set membership identification,then obtain estimated position of unknown nodes by grid scanning. Feasibility of algorithm is verified by simulation analysis,compared this algorithm with the traditional localization algorithm in error,the experimental results show that this algorithm has higher precision and better robustness.

关 键 词：无线传感器网络 定位算法 接收信号强度指示 自助抽样法 置信区间 集员辨识 

分 类 号：TP393.1[自动化与计算机技术—计算机应用技术]