• DocumentCode
    1127930
  • Title

    Type-Based Random Access for Distributed Detection Over Multiaccess Fading Channels

  • Author

    Anandkumar, Animashree ; Tong, Lang

  • Author_Institution
    Cornell Univ., Ithaca
  • Volume
    55
  • Issue
    10
  • fYear
    2007
  • Firstpage
    5032
  • Lastpage
    5043
  • Abstract
    The problem of distributed detection in a sensor network over multiaccess fading channels is considered. A random-access transmission scheme referred to as the type-based random access (TBRA) is proposed and analyzed. Error exponents of TBRA under noncoherent detection are characterized with respect to the mean transmission rate and the channel-coherence index. For the zero-mean multiaccess fading channels, it is shown that there exists an optimal mean-transmission rate that maximizes the detection-error exponents. The optimal mean-transmission rate can be calculated numerically or estimated using the Gaussian approximation, and it gives a sensor-activation strategy that achieves an optimal allocation of transmission energy to spatial and temporal domains. Numerical examples and simulations are used to compare TBRA with the conventional centralized time-division multiple access (TDMA) scheme. It is shown that for the zero-mean multiaccess fading channels, TBRA gives substantial improvement in the low signal-to-noise ratio (SNR) regime whereas for the nonzero mean fading channels, TBRA performs better over a wide range of SNR.
  • Keywords
    Gaussian processes; fading channels; time division multiple access; wireless sensor networks; Gaussian approximation; TDMA scheme; channel-coherence index; distributed detection; multiaccess fading channels; random-access transmission scheme; sensor network; sensor-activation strategy; signal-to-noise ratio; time-division multiple access scheme; transmission energy optimal allocation; type-based random access; Collaborative work; Fading; Gaussian approximation; Multisensor systems; Numerical simulation; Quantization; Sensor fusion; Sensor phenomena and characterization; Signal to noise ratio; Time division multiple access; Distributed detection; multisensor systems; performance analysis; signal processing for communications;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2007.896302
  • Filename
    4305425