• DocumentCode
    1849130
  • Title

    Application of Chaos in Digital Fountain Codes

  • Author

    Zhou, Qian ; Chen, Zengqiang

  • Author_Institution
    Coll. of Inf. Tech. Sci., Nankai Univ., Tianjin
  • fYear
    2008
  • fDate
    18-21 Nov. 2008
  • Firstpage
    2786
  • Lastpage
    2791
  • Abstract
    Fountain codes provide an efficient and reliable way to transfer information over erasure channels like Internet. LT codes are the first practical realization of Fountain codes. Implementation of fountain codes usually realizes the randomness in the encoding through pseudo-random number generator. We apply chaotic sequence in the implementation of LT codes to determine the degree and neighbour(s) of each encoding symbol. It is shown that the implemented LT codes based on chaos can perform better than the LT codes implemented by the traditional pseudo-randomness number generator. Receiver and sender can communicate neighbor information by sending the initial conditions of Kent maps, which greatly reduces the transmission consumption. LT codes with our revised Robust Soliton distribution are shown to have comparable decoding efficiency with the Robust Soliton distribution. Moreover, they reduce the symbol operations numbers in the decoding, which can make the decoding more efficient.
  • Keywords
    Internet; chaos; random number generation; sequences; statistical distributions; telecommunication channels; transform coding; Internet; Luby transform code; chaos; chaotic sequence; digital fountain codes; encoding symbol; erasure channel; pseudo-random number generator; revised robust soliton distribution; Chaos; Chaotic communication; Computational complexity; Decoding; Encoding; Internet; Robustness; Solitons; Telecommunication network reliability; Water; Kent chaotic map; LT code; fountain code; revised Robust Soliton distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Young Computer Scientists, 2008. ICYCS 2008. The 9th International Conference for
  • Conference_Location
    Hunan
  • Print_ISBN
    978-0-7695-3398-8
  • Electronic_ISBN
    978-0-7695-3398-8
  • Type

    conf

  • DOI
    10.1109/ICYCS.2008.47
  • Filename
    4709422