摘要
在无线传感器网络(WSN ) 的节点本地化是被对待一功能目标在纸从一个新奇观点追踪双。与在 WSN 的传统的追踪问题不同,使用静态的地点商品节点估计动人的目标,活动节点被用来帮助未知节点精确地发现他们的位置。一个新节点本地化计划虚拟烽火精力比率本地化(VB-ERL ) 和它为 WSN 的精炼被介绍。在计划,活动节点基于 Gauss-Markov 活动性模型搬到监视者地并且周期性地广播信息包。每个静态的未知节点在它的察觉到的范围收到虚拟烽火和精力,并且由发现一套超球面的交叉估计它的地点。模拟结果证明建议计划是有效的。
Node localization in wireless sensor networks(WSN)is treated as a functional dual of target tracking from a novel perspective in the paper.Different from the traditional tracking problem in WSN,using the static location-ware node to estimate the moving target,the mobile node is used to help unknown nodes to accurately discover their positions.A new node localization scheme virtual beacons-energy ratios localization(VB-ERL)and its refinements for the WSN are presented.In the scheme,the mobile node moves in the surveillant field based on the Gauss-Markov mobility model and periodically broadcasts the information packets.Each static unknown node receives the virtual beacons and energy in its sensing range,and estimates its location by finding the intersection of a set of hyper-spheres.Simulation results show the proposed scheme is efficient.
出处
《自动化学报》
EI
CSCD
北大核心
2008年第3期344-348,共5页
Acta Automatica Sinica