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An Energy-Efficient Data Aggregation using Hierarchical Filtering in Sensor Network

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2007, 12(1), pp.75-84
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

김진수 1 박찬흠 2 Kim, Chong gun 2 강병욱 2

1동명대학교
2영남대학교

Accredited

ABSTRACT

This paper proposes how to reduce the amount of data transmitted in each sensor and cluster head in order to lengthen the lifetime of sensor network by data aggregation of the continuous queries. The most important factor of reducing the sensor's energy dissipation is to reduce the amount of messages transmitted. The method proposed is basically to combine clustering, in-network data aggregation and hierarchical filtering. Hierarchical filtering is to divide sensor network by two tiers when filtering it. First tier performs filtering when transmitting the data from cluster member to cluster head, and second tier performs filtering when transmitting the data from cluster head to base station. This method is much more efficient and effective than the previous work. We show through various experiments that our scheme reduces the network traffic significantly and increases the network's lifetime than existing methods.

Citation status

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