摘要
针对存在空洞的各向异性的传感器网络中,DV-Hop算法由于跳数估计不准确而导致精度降低的问题,提出了一种基于网络空洞边界节点检测的DV-Hop改进算法。首先利用一些可移动的锚节点标记并定位空洞边界上节点的坐标,再通过边界节点进而优化未知节点与信标节点间的跳数值,最后用改进的加权最小平方法进行未知节点自定位。仿真结果表明,当传感器网络中含有面积较大的空洞时,利用提出的算法能够让定位误差很大程度上减少,并且该算法可以更好地应用于实际场景。
For a sensor network with hole anisotropy,for the precision of DV-Hop algorithm degrades in anisotropic networks with holes because of the imprecise estimation of the hop count,an improved DV-Hop algorithm based on detection of nodes on the boundary of the hole in networks was proposed.The improved algorithm firstly used some mobile anchors to locate nodes on the boundary of the hole,then the boundary nodes were utilized to refine the hop count of unknown nodes to anchors,finally an improved weighted least square method was adopted to locate unknown nodes.Simulation results show that the localization error can be largely decreased using improved algorithm in networks with large size of hole,and the algorithm can be better applied in actual scene.
作者
卓静
高清源
胡平
ZHUO Jing, GAO Qingyuan, HU Ping(College of Computer Science and Technology,Nanjing Tech University, Nanjing 211816, Chin)
出处
《仪表技术与传感器》
CSCD
北大核心
2018年第5期88-93,107,共7页
Instrument Technique and Sensor
基金
江苏省重点研发计划(社会发展)项目(BE2015697)
