• DocumentCode
    2784990
  • Title

    The research of data compression algorithm based on lifting wavelet transform for wireless sensor network

  • Author

    Li, Xian-Li ; Zhang, Jia-Wei ; Fang, Wei-Hong

  • Author_Institution
    Dept. of Logistical Inf. Eng., Logistical Eng. Univ., Chongqing, China
  • fYear
    2009
  • fDate
    23-25 Oct. 2009
  • Firstpage
    228
  • Lastpage
    233
  • Abstract
    Aiming at the limited resources and data transmission redundancy of WSN, this paper proposes a novel data compression algorithm based on lifting wavelet transform, gives the rational design. The algorithm distributes the computing quantity which the lifting wavelet transform requires to all nodes, eliminates extra computing and data transmission, reduces the information redundancy of network, greatly saves the energy of wireless transmission, prolongs network lifetime. The simulation results show that the data compression algorithm based on lifting wavelet transform performs well in energy saving without sacrificing the reconstruction quality of signal in comparing with the data compression algorithm based on traditional wavelet transform.
  • Keywords
    data compression; signal reconstruction; wavelet transforms; wireless sensor networks; data compression; data transmission redundancy; energy saving; lifting wavelet transform; network lifetime; signal reconstruction quality; wireless sensor network; Computer networks; Data communication; Data compression; Data engineering; Design engineering; Distributed computing; Energy consumption; Signal processing algorithms; Wavelet transforms; Wireless sensor networks; Compression algorithm; Lifting wavelet transform; Wireless Sensor Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Apperceiving Computing and Intelligence Analysis, 2009. ICACIA 2009. International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5204-0
  • Electronic_ISBN
    978-1-4244-5206-4
  • Type

    conf

  • DOI
    10.1109/ICACIA.2009.5361111
  • Filename
    5361111