摘要
移动锚节点通过接收的节点RSS混合序列聚类确定无标识未知节点个数,RSS混合序列的聚类效果直接决定无线传感器网络节点的定位精度。本文针对EM算法处理RSS高斯混合序列中存在初值敏感的不足,采用三阶段迭代处理方法,对EM算法增加前道和后道处理,K均值作为前道处理改善EM初值选取,贝叶斯信息准则作为后道处理提高聚类的精度。仿真结果表明,本文算法可以成功估算无标识未知节点个数,并且获取精确的接收信号强度。
It confirms number of unknown nodes without identification by dealing with mixed received signal strength sequences achieved by mobile anchor node,the clustering results of the mixed received signal strength directly determines the positioning accuracy of unknown nodes on the wireless sensor network. EM algorithm is sensitive to the initial values. To overcome the drawback above,this paper proposes a three stage iterative processing method,adding front and rear channel to EM algorithm. Kmeans algorithm is used as front processing channel to improve the selection of initial values on EM algorithm. Bayesian information criterion is employed as the rear processing channel to improve the accuracy of the clustering. Finally,the simulation result shows that the proposed algorithm can successfully estimate the number of unknown nodes,and achieve precise received signal strength.
出处
《计算机与现代化》
2016年第5期46-50,共5页
Computer and Modernization
基金
江苏省六大人才高峰基金资助项目(2012-WLW-006)
