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  • 标题:Monte Carlo Based Wireless Node Localization
  • 本地全文:下载
  • 作者:Kurecka ; Konecny ; Prauzek
  • 期刊名称:Studies About Languages
  • 印刷版ISSN:2029-7203
  • 出版年度:2014
  • 卷号:20
  • 期号:6
  • 页码:12-16
  • DOI:10.5755/j01.eee.20.6.7260
  • 语种:English
  • 出版社:Faculty of Humanities, Kaunas University of Technology
  • 其他摘要:In this paper we propose the WNMCL algorithm that allows iteratively locate unknown wireless nodes. The algorithm requires only one mobile node, which collects RSS signal from other nodes with unknown position and approximates their distance by path-loss model. These data are used for the probability occurrence correction of the nodes in the space modelled by Monte Carlo. The WNMCL algorithm was validated using simulations and the results are presented in this paper. DOI: http://dx.doi.org/10.5755/j01.eee.20.6.7260
  • 关键词:Localization;mobile nodes;Monte Carlo methods;wireless sensor networks
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