标题:Range-free monte carlo localization for mobile wireless sensor networks
作者:Mei, Ju ;Chen, Di ;Gao, Jinyan ;Gao, Yuanshou ;Yang, Lekang
通讯作者:Mei, J
作者机构:[Mei, Ju ;Chen, Di ;Gao, Yuanshou ;Yang, Lekang ] School of Information Science and Engineering, Shandong University, Jinan, China;[Gao, Jinyan ] Scho 更多
会议名称:2012 International Conference on Computer Science and Service System, CSSS 2012
会议日期:11 August 2012 through 13 August 2012
来源:Proceedings - 2012 International Conference on Computer Science and Service System, CSSS 2012
出版年:2012
页码:1066-1069
DOI:10.1109/CSSS.2012.270
关键词:localization; mobile WSNs; TSBMCL; wireless sensor networks
摘要:The position information is usually needed when wireless sensor networks are applied for surveillance within certain region. Thus the localization of nodes is critical for WSNs. However, the present localization schemes mostly focus on static sensor networks, and in mobile WSNs, these schemes will not work well. This paper proposes a range-free Monte Carlo localization algorithm TSBMCL, which is extended from the Monte Carlo Boxed (MCB) scheme[1]. In this scheme, the well localized nodes are applied to aid other nodes for localization based on the sequential Monte Carlo method. The scheme could further improve the localization accuracy of the WSNs. We evaluate the performance of the scheme with comparison to MCB using MATLAB. The simulation results demonstrate that the localization scheme outperforms the MCB scheme. © 2012 IEEE.
收录类别:EI;SCOPUS
Scopus被引频次:6
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84873811935&doi=10.1109%2fCSSS.2012.270&partnerID=40&md5=5c6276bca49ff893eba52821cdf0d9b3
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