• DocumentCode
    2497589
  • Title

    Sigma-Delta ADC Based Distributed Detection in Wireless Sensor Networks

  • Author

    Wang, Dimeng ; Wei, Shuangqing ; Gu, Guoxiang

  • Author_Institution
    Louisiana State Univ., Baton Rouge
  • fYear
    2007
  • fDate
    26-30 Nov. 2007
  • Firstpage
    1185
  • Lastpage
    1189
  • Abstract
    In the existing works on distributed detection in sensor networks, local sensor nodes either quantize the observation or directly scale the analog observation and then transmit the processed information independently over wireless channels to a fusion center. In this paper, we exploit the advantages of both of these two approaches by constructing an equivalent Sigma-Delta ADC across space over wireless sensor networks. Sensors are arranged in a mixing of parallel and serial topologies, enabling each sensor to transmit binary information to the fusion center, while in the meantime preserving the analog information through collaborative processing. Comparison with existing approaches demonstrates the superiority of our proposed scheme in both AWGN and fading channels in terms of the resulting detection error probability.
  • Keywords
    AWGN channels; error analysis; fading channels; sigma-delta modulation; telecommunication network topology; wireless sensor networks; AWGN channels; collaborative processing; error probability; fading channels; serial topologies; sigma-delta ADC based distributed detection; wireless channels; wireless sensor networks; Additive white noise; Collaboration; Delta-sigma modulation; Fading; Gaussian noise; Network topology; Power system modeling; Sensor fusion; Sensor phenomena and characterization; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2007. GLOBECOM '07. IEEE
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4244-1042-2
  • Electronic_ISBN
    978-1-4244-1043-9
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2007.228
  • Filename
    4411138