IEIE Transactions on Smart Processing and Computing

대한전자공학회 (The Institute of Electronics and Information Engineers)
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Entropy-based Correlation Clustering for Wireless Sensor Networks in Multi-Correlated Regional Environments

  • Nga, Nguyen Thi Thanh (School of Information and Communication Technology, Hanoi University of Science and Technology) ;
  • Khanh, Nguyen Kim (School of Information and Communication Technology, Hanoi University of Science and Technology) ;
  • Hong, Son Ngo (School of Information and Communication Technology, Hanoi University of Science and Technology)
  • 투고 : 2016.02.19
  • 심사 : 2016.03.11
  • 발행 : 2016.04.30
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초록

The existence of correlation characteristics brings significant potential advantages to the development of efficient routing protocols in wireless sensor networks. This research proposes a new simple method of clustering sensor nodes into correlation groups in multiple-correlation areas. At first, the evaluation of joint entropy for multiple-sensed data is considered. Based on the evaluation, the definition of correlation region, based on entropy theory, is proposed. Following that, a correlation clustering scheme with less computation is developed. The results are validated with a real data set.

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참고문헌

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