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  • 标题:A Novel Event Detection Framework for Wireless Sensor and Actor Networks
  • 本地全文:下载
  • 作者:Haoyun Wang ; Yuhan Fei ; Jiaojiao Liu
  • 期刊名称:Journal of Communications
  • 印刷版ISSN:1796-2021
  • 出版年度:2016
  • 卷号:11
  • 期号:1
  • 页码:1-14
  • DOI:10.12720/jcm.11.1.1-14
  • 语种:English
  • 出版社:ACADEMY PUBLISHER
  • 摘要:Wireless Sensor and Actor Network (WSAN) can observe the physical world using event detection methods by sensor nodes and implement appropriate operation by actor nodes. Compared with Wireless Sensor Network (WSN), WSAN set high requests for real-time, collaboration, mobility, etc. Therefore, the event detection methods applied to WSN cannot be adopted for WSAN. In this paper, we present a threelayer Cooperative Event Detection Framework (3-CEDF) for WSAN. Firstly, sensor nodes cooperate with each other to affirm the occurrence of events via voting mechanism. Then, cluster-head nodes use a modified K-means algorithm and a proposed type matching mechanism to detect the event types with the boundary information of event data. Finally, actor nodes get the priority of events processing using a modified knearest neighbor algorithm with the slope similarity measure. The performances of effectiveness, real-time, mobility and communication traffic for 3-CEDF are obtained through analysis and simulations, when 3-CEDF is compared to the centralized event detection method adopted for WSN.
  • 关键词:Wireless sensor and actor network ; event detection ; cooperative algorithm ; type matching ; similarity measure
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