EBAS: an energy-efficient event boundary approximated suppression algorithm in wireless sensor networks

  • Authors:
  • Longjiang Guo;Jiqiang Wang;Meirui Ren;Zhongzhao Zhang;Yan Yang

  • Affiliations:
  • Electronic and Information Technology Academy, Harbin Institute of Technology, Harbin, China and School of Computer Science and Technology, Heilongjiang University, Harbin, China;School of Computer Science and Technology, Heilongjiang University, Harbin, China;School of Computer Science and Technology, Heilongjiang University, Harbin, China;Electronic and Information Technology Academy, Harbin Institute of Technology, Harbin, China;School of Computer Science and Technology, Heilongjiang University, Harbin, China

  • Venue:
  • WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
  • Year:
  • 2009

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Abstract

Monitoring events and detecting event boundaries are fundamental problems in wireless sensor networks. Moreover, users may want to know the event fields. All these problems present great challenges: in order to get event fields, we have to collect information from all the nodes that lie in field boundaries. Obviously, it means much communication and therefore, much more energy consuming. Meanwhile, the more data needs to be sent, the higher the message packet missing rate is. It incurs inaccurate event fields. Based on the above situation, we propose a novel energy-efficient algorithm named EBAS. With the help of EBAS, we could save a great amount of energy without much loss of accuracy of event fields. Finally, simulated experiment results proved the correctness and effectiveness of EBAS.