• DocumentCode
    2021450
  • Title

    Fuzzy information exposure paths analysis in wireless sensor networks

  • Author

    Wang, Rui ; Gao, Yueyue ; Wan, Wanggen ; Mao, Shuiling

  • Author_Institution
    Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
  • fYear
    2010
  • fDate
    23-25 Nov. 2010
  • Firstpage
    1619
  • Lastpage
    1623
  • Abstract
    Based on Fuzzy Theory, this paper proposes an exposure path algorithm for a point and for a path in sensor networks. The fuzzy information exposure path of a point is defined as the function of the distance between sensors and objects. Within a fixed distance, the less the distance is, the higher the exposure. The fuzzy information exposure for a path is the average fuzzy information exposure of all points along the path. The higher the fuzzy information exposure, the higher the confidence level that some information of an object is exposed and the more likely the object is monitored. An approximation algorithm is proposed to solve the problem of finding the worst and best fuzzy information exposure path in wireless sensor networks, and simulations are implemented to evaluate its performance.
  • Keywords
    fuzzy set theory; wireless sensor networks; approximation algorithm; confidence level; fuzzy information exposure paths analysis; fuzzy theory; wireless sensor networks; Ad hoc networks; Approximation algorithms; Approximation methods; Monitoring; Sensors; Uncertainty; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Audio Language and Image Processing (ICALIP), 2010 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-5856-1
  • Type

    conf

  • DOI
    10.1109/ICALIP.2010.5685028
  • Filename
    5685028