• DocumentCode
    2654351
  • Title

    Detection performance limits of channel impaired distributed sensor networks

  • Author

    Cheng, Qi ; Chen, Biao ; Varshney, Pramod K.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., NY, USA
  • Volume
    2
  • fYear
    2004
  • fDate
    7-10 Nov. 2004
  • Firstpage
    2213
  • Abstract
    Traditional parallel distributed detection systems assume perfect channels between local sensors and a fusion center. However, for the emerging wireless sensor networks with inexpensive sensors and stringent power/delay constraints, error-free transmission is not guaranteed. In this paper, we study the performance degradation due to imperfect channels between the sensors and the fusion center under both asymptotic and non-asymptotic regimes. For asymptotic analysis, we compute the error exponents of the underlying hypothesis testing problem in the presence of discrete transmission channels; while for cases with a finite number of sensors, we determine channel conditions under which the distributed detection systems become useless observing the channel output might not help in reducing the error probability performance at the fusion center. Numerical examples are provided to illustrate the concepts.
  • Keywords
    error statistics; sensor fusion; telecommunication channels; wireless sensor networks; asymptotic analysis; channel impaired distributed sensor networks; discrete transmission channels; distributed detection systems; error probability; fusion center; hypothesis testing problem; wireless sensor networks; Computer errors; Degradation; Distributed computing; Error probability; Fading; Performance analysis; Sensor fusion; Sensor systems; System testing; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on
  • Print_ISBN
    0-7803-8622-1
  • Type

    conf

  • DOI
    10.1109/ACSSC.2004.1399560
  • Filename
    1399560