• DocumentCode
    2895709
  • Title

    Fault-Tolerant Event Detection Using Two Thresholds in Wireless Sensor Networks

  • Author

    Yim, Sung-Jib ; Choi, Yoon-Hwa

  • Author_Institution
    Dept. of Comput. Eng., Hongik Univ., Seoul, South Korea
  • fYear
    2009
  • fDate
    16-18 Nov. 2009
  • Firstpage
    331
  • Lastpage
    335
  • Abstract
    This paper presents a fault-tolerant event detection scheme for wireless sensor networks. Unlike others using a single threshold, the proposed scheme employs two thresholds to cope with the trade-off between event detection accuracy and false alarm rate. An extremely low false alarm rate can be achieved by using a high threshold, while high detection accuracy is obtained by using a low threshold. A sensor node is determined to be in an event region if it passes the high threshold. It can also be determined to be in the region, as long as it passes the low threshold and has a neighbor that passes the high threshold. The dissemination of a local decision to neighboring nodes is made only once to minimize the communication overhead. A moving average filter with a threshold is employed to reduce the impact of transient faults in sensor readings. Computer simulation shows that the proposed scheme also achieves acceptable performance in detecting event regions without computational overhead.
  • Keywords
    fault tolerance; wireless sensor networks; false alarm; fault-tolerant event detection; moving average Alter; sensor node; wireless sensor networks; Base stations; Bayesian methods; Computer networks; Detection algorithms; Event detection; Fault detection; Fault tolerance; Filters; Measurement errors; Wireless sensor networks; event detection; fault tolerance; sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Dependable Computing, 2009. PRDC '09. 15th IEEE Pacific Rim International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3849-5
  • Type

    conf

  • DOI
    10.1109/PRDC.2009.59
  • Filename
    5368200