WSNS中基于箱线图的误差自校正定位算法  

Boxplot-based Error Self-calibration Localization Algorithm in WSNs

作　　者：金仁成[1] 李应琛 马远[1] 赵继鹏[1] 

机构地区：[1]大连理工大学辽宁省微纳米技术及系统工程重点实验室

出　　处：《单片机与嵌入式系统应用》2017年第7期28-33,共6页Microcontrollers & Embedded Systems

基　　金：国家重点基础研究发展计划(973计划)资助项目(2009CB320300);国家“十二五”科技支撑计划资助项目(2011BAG05B02);国家基金委创新群体项目(51621064)~~

摘　　要：针对基于接收信号强度指示（RSSI）的无线传感器网络（wSNs）节点定位技术易受环境影响、算法运算量大等问题，提出一种基于箱线图的误差自校正定位算法。该算法采用箱线图法处理测距过程中的异常RSSI值，利用自校正最小二乘法消除测距误差进而实现节点定位。仿真和实验结果表明，该算法可以有效抑制异常RSSI值，显著提高节点定位的准确性和稳定性，而且无需建立复杂的数据传播模型或构造RSSI位置指纹分布图。In order to solve the problem of wireless sensor network （WSNs） node location technology based on received signal strength indication （RSSI）, which is easy to be influenced by the environment,and the algorithm has a large amount of computation and so on,a boxplot-hased error self-calibration localization algorithm is proposed.The algorithm selects an adaptive distance estimation method based on boxplot to deal with outlier RSSI value, and uses a self-calibration least square algorithm to achieve localization by using ranging error self-elimination.The experiment results show that the proposed algorithm can effectively suppress outliers RSSI value and output a high and stable processing result while satisfying the high positioning accuracy requirement.For the above achievement, no hardware modifica- tion as well as time consuming RSSI-maps or complex signal propagation models are required.

关 键 词：无线传感器网络 箱线图 误差自校正 定位算法 

分 类 号：TN929.5[电子电信—通信与信息系统] TP212.9[电子电信—信息与通信工程]