• DocumentCode
    729990
  • Title

    Performance evaluation of novel degree distribution on power law of LT codes for internet technology

  • Author

    Shamsul Alam, S.M. ; Sultana, Soheli ; GoangSeog Choi ; Iqbal, Shajeel

  • Author_Institution
    ECE Discipline, Khulna Univ., Khulna, Bangladesh
  • fYear
    2015
  • fDate
    24-26 June 2015
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    This paper presents a new degree distribution based on power law so that LT code can perform well. Here, we have simulated our proposed degree distribution and have compared this distribution with robust soliton, binomial, pareto and parabolic distributions. Simulation result shows that this proposed degree distribution outperforms compared to other distribution techniques in terms of message length vs. error, encoding decoding time, overhead and iteration.
  • Keywords
    Internet; encoding; statistical distributions; Internet technology; LT codes; Pareto distributions; binomial distributions; code overhead; decoding time; message length; parabolic distributions; power law degree distribution; robust soliton distributions; Consumer electronics; Decoding; Encoding; Iterative decoding; Mathematical model; Robustness; Simulation; Degree distribution; LT codec; Tanner Graph; sum product algorithm (SPA);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (ISCE), 2015 IEEE International Symposium on
  • Conference_Location
    Madrid
  • Type

    conf

  • DOI
    10.1109/ISCE.2015.7177830
  • Filename
    7177830