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  • 标题:Dynamic cluster algorithm for improving percolation of targets in a sensor network (DC-AIPT)
  • 本地全文:下载
  • 作者:Mohamed Toumi ; Abderrahim Maizate ; Mohammed Ouzzif
  • 期刊名称:Egyptian Informatics Journal
  • 印刷版ISSN:1110-8665
  • 出版年度:2019
  • 卷号:20
  • 期号:3
  • 页码:179-191
  • DOI:10.1016/j.eij.2019.04.002
  • 出版社:Elsevier
  • 摘要:A target tracking in wireless sensor networks consists of two main functions: The detection and the tracking of the target along its trajectory by means of sensors deployed in an area of interest. Generally, these sensors are not maintainable after deployments. Dynamic clustering algorithms seem to be an effective mechanism for increasing the network’s lifetime. Indeed, this type of algorithms only activates the nodes that are on the trajectory of the target when the latter is at their reach. All other sensors must be in sleep mode. The effectiveness of a monitoring solution must take into account the quality of monitoring, connectivity, and the power consumption that are directly affected by the distribution and density of the nodes. We propose to construct optimal dynamic clusters on the target trajectory based on a probabilistic model integrating two fundamental parameters: energy consumption and accuracy. This last metric is evaluated, for the first time in the target tracking algorithms, by the notion percolation.
  • 关键词:Clustering algorithm ; Percolation ; Wireless sensor networks ; Target tracking ; Dynamic clustering
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