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Ad Hoc Networks. Second International Conference, ADHOCNETS 2010, Victoria, BC, Canada, August 18-20, 2010, Revised Selected Papers

Research Article

Event Detection in Wireless Sensor Networks – Can Fuzzy Values Be Accurate?

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  • @INPROCEEDINGS{10.1007/978-3-642-17994-5_12,
        author={Krasimira Kapitanova and Sang Son and Kyoung-Don Kang},
        title={Event Detection in Wireless Sensor Networks -- Can Fuzzy Values Be Accurate?},
        proceedings={Ad Hoc Networks. Second International Conference, ADHOCNETS 2010, Victoria, BC, Canada, August 18-20, 2010, Revised Selected Papers},
        proceedings_a={ADHOCNETS},
        year={2012},
        month={5},
        keywords={wireless sensor networks fuzzy logic event description event detection accuracy},
        doi={10.1007/978-3-642-17994-5_12}
    }
    
  • Krasimira Kapitanova
    Sang Son
    Kyoung-Don Kang
    Year: 2012
    Event Detection in Wireless Sensor Networks – Can Fuzzy Values Be Accurate?
    ADHOCNETS
    Springer
    DOI: 10.1007/978-3-642-17994-5_12
Krasimira Kapitanova1,*, Sang Son1,*, Kyoung-Don Kang2,*
  • 1: University of Virginia
  • 2: Binghamton University
*Contact email: krasi@cs.virginia.edu, son@cs.virginia.edu, kang@cs.binghamton.edu

Abstract

Event detection is a central component in numerous wireless sensor network (WSN) applications. In spite of this, the area of event description has not received enough attention. The majority of current event description approaches rely on using precise values to specify event thresholds. However, we believe that crisp values cannot adequately handle the often imprecise sensor readings. In this paper we demonstrate that using fuzzy values instead of crisp ones significantly improves the accuracy of event detection. We also show that our fuzzy logic approach provides higher detection precision than a couple of well established classification algorithms.

Keywords
wireless sensor networks fuzzy logic event description event detection accuracy
Published
2012-05-28
http://dx.doi.org/10.1007/978-3-642-17994-5_12
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