• DocumentCode
    2277933
  • Title

    The Presentation of Interaction for Coverage Analysis in Sensor Networks

  • Author

    Wang, R. ; Wan, W.G. ; Li, Y.P.

  • Author_Institution
    Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
  • Volume
    3
  • fYear
    2010
  • fDate
    13-14 March 2010
  • Firstpage
    937
  • Lastpage
    940
  • Abstract
    Because of sensors with different types and some other different characteristics in real deployment, there exist four kinds of interaction among sensors in information fusion for coverage analysis, including negative synergy, positive synergy, independency and interference. In order to handle the interaction properly, the discrete fuzzy measure theory is introduced to represent the interaction among sensors and discuss how to determine the interaction via fuzzy measure in sensor networks. An example is provided to illustrate the interaction in sensor networks. The results show that handling the interaction among sensors in networks can provide more useful information for coverage analysis.
  • Keywords
    fuzzy set theory; radiofrequency interference; sensor fusion; wireless sensor networks; coverage analysis; coverage analysis interaction; discrete fuzzy measure theory; information fusion; negative synergy; sensor networks; Automation; Collaborative work; Frequency; Information analysis; Information processing; Interference; Mechatronics; Sensor fusion; Sensor phenomena and characterization; Wireless communication; 2-additive fuzzy measure; coverage analysis; interaction model; sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
  • Conference_Location
    Changsha City
  • Print_ISBN
    978-1-4244-5001-5
  • Electronic_ISBN
    978-1-4244-5739-7
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2010.644
  • Filename
    5458606