• DocumentCode
    2157602
  • Title

    Multirate distributed source coding in wireless sensor network USIND LDPC codes

  • Author

    Rezayi, Elham ; Abolhassani, Bahman

  • Author_Institution
    Iran Univ. of Sci. & Technol., Tehran
  • fYear
    2009
  • fDate
    3-6 May 2009
  • Firstpage
    171
  • Lastpage
    174
  • Abstract
    Energy conservation in wireless sensor networks (WSNs) is the primary performance parameter, because of their limited energy resources. Thus, some energy saving technologies should be applied. One of these technologies for WSNs is distributed source coding (DSC), related to correlation between sensor outputs. In this paper, we propose to apply multirate distributed source coding to reduce energy consumption for a target BER value. Low Density Parity Check (LDPC) code is one of the practical codes that can be used for DSC to compress close to Slepian-Wolf limit. The simulation results for codes of length 1000 and three different compression ratios show that the proposed multirate approach achieves better energy efficiency rather than a single rate code with similar maximum BER value.
  • Keywords
    error statistics; parity check codes; source coding; wireless sensor networks; LDPC code; Slepian-Wolf limit; energy consumption; low density parity check code; multirate distributed source coding; target BER value; wireless sensor network; Bit error rate; Cross layer design; Decoding; Energy conservation; Energy consumption; Energy efficiency; Intelligent networks; Parity check codes; Source coding; Wireless sensor networks; Low-Density Parity-Check; Multirate coding; distributed source coding; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2009. CCECE '09. Canadian Conference on
  • Conference_Location
    St. John´s, NL
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4244-3509-8
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2009.5090114
  • Filename
    5090114