• DocumentCode
    2923556
  • Title

    Distributed Source Coding using non-binary LDPC codes for sensor network applications

  • Author

    Potluri, Madhurima ; Chilumuru, Suma ; Kambhampati, Sumakanth ; Namuduri, Kamesh R.

  • Author_Institution
    Wichita State Univ., Wichita
  • fYear
    2007
  • fDate
    6-8 June 2007
  • Firstpage
    105
  • Lastpage
    109
  • Abstract
    Recent revolution in sensor networks has resulted in the development of many enabling techniques, one of which being distributed source coding (DSC). DSC allows a low-complexity encoder, shifting the high complexity to the decoder, making this scheme appropriate for sensor networks. In this paper, we have extended the non-binary low-density parity-check (LDPC) codes, developed for channel coding, to be used for distributed source coding of correlated non-binary sources. The system consists of an equiprobable memoryless non-binary source with side information at the decoder. The correlation between the sources is modelled as a virtual channel. The results obtained through simulations demonstrate that for rates 1/2 and 3/4, the non-binary compression scheme performs better the equivalent binary compression scheme. This scheme makes it extremely suitable for sensor networks.
  • Keywords
    channel coding; distributed sensors; parity check codes; source coding; channel coding; distributed source coding; low-complexity encoder; low-density parity-check codes; nonbinary LDPC codes; nonbinary compression scheme; sensor network applications; AWGN; Bit error rate; Channel coding; Iterative algorithms; Iterative decoding; Lattices; Message passing; Parity check codes; Source coding; Sparse matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2007. CWIT '07. 10th Canadian Workshop on
  • Conference_Location
    Edmonton, AB
  • Print_ISBN
    1-4244-0769-9
  • Electronic_ISBN
    1-4244-0769-9
  • Type

    conf

  • DOI
    10.1109/CWIT.2007.375712
  • Filename
    4259766