• DocumentCode
    519495
  • Title

    Type-based multiple-access with bandwidth extension for the decentralized estimation in wireless sensor networks

  • Author

    Wang, Xin ; Yang, Chenyang

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China
  • fYear
    2010
  • fDate
    14-19 March 2010
  • Firstpage
    2914
  • Lastpage
    2917
  • Abstract
    Type-based multiple-access (TBMA) is a bandwidth efficient transmission scheme for decentralized estimation in wireless sensor networks (WSNs) over non-orthogonal multiple-access channels, whereas its performance degrades severely in zero-mean fading channels. In this paper, we improve its performance in the fading channels by using more resources for transmitting each type, which is named as TBMA with bandwidth extension (TBMA-BE). This transmission scheme needs no feedback of channel state information as existing solutions, thus it is feasible for large scale WSNs. We then develop an approximate maximum likelihood (ML) estimator, and derive the Cramér-Rao lower bound to reveal how the performance and the bandwidth efficiency are related. It is shown from the simulations that the TBMA-BE transmission scheme with the approximate ML estimator performs fairly well in non-orthogonal multiple-access channels with Rayleigh fading, and is even superior to the orthogonal multiple-access protocol at low communication signal to noise ratio (SNR). It also shows that the TBMA-BE is bandwidth efficient for the typical scenarios of WSNs where the communication SNR is low, since the total bandwidth consumption is proportional to the SNR.
  • Keywords
    Rayleigh channels; access protocols; maximum likelihood estimation; wireless sensor networks; Cramer-Rao lower bound; Rayleigh fading; WSN; approximate maximum likelihood estimator; bandwidth extension; decentralized estimation; multiple-access channels; multiple-access protocol; nonorthogonal multiple-access channels; type-based multiple-access; wireless sensor networks; Bandwidth; Channel state information; Degradation; Fading; Large-scale systems; Maximum likelihood estimation; Rayleigh channels; Signal to noise ratio; State feedback; Wireless sensor networks; Decentralized estimation; type-based multiple-access; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-4295-9
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2010.5496158
  • Filename
    5496158