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Continuous Top-k Contour Regions Querying in Sensor Networks

Author

Listed:
  • Shangfeng Mo
  • Hong Chen
  • Cuiping Li
  • Deying Li
  • Yinglong Li

Abstract

Wireless sensor networks (WSNs) are important parts of Internet of Things or Cyber-Physical Systems (CPS). WSNs can be seen as a new type of distributed database systems. The data query processing is very important for WSNs. In this paper, we proposed a Continuous Top-k Contour Regions Querying algorithm (CTCRQ) which can continuously obtain the top-k contour regions and does not lose the rate of precision (accuracy). We take full advantage of the k th value of top-k result in current round as the threshold to suppress the nodes whose readings do not belong to the top-k result in next round. Extensive experiments are conducted to evaluate the performance of the proposed CTCRQ approach by using a synthetic data set. The results provide a number of insightful observations and show that CTCRQ substantially outperforms Centralized algorithm, Centralized Optimized algorithm, and CCM algorithm in terms of data transmitted.

Suggested Citation

  • Shangfeng Mo & Hong Chen & Cuiping Li & Deying Li & Yinglong Li, 2013. "Continuous Top-k Contour Regions Querying in Sensor Networks," International Journal of Distributed Sensor Networks, , vol. 9(5), pages 592890-5928, May.
    • Handle: RePEc:sae:intdis:v:9:y:2013:i:5:p:592890
    DOI: 10.1155/2013/592890
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