• DocumentCode
    3210280
  • Title

    The Study of Wireless Multimedia Sensor Network Multiple Description Coding for Coal Mine

  • Author

    Sun, Renke ; Ding, Enjie ; Zhao, Duan

  • Author_Institution
    Sch. of Comput. Sci. & Technol., China Univ. of Min. & Technol., Xuzhou, China
  • Volume
    3
  • fYear
    2010
  • fDate
    11-12 May 2010
  • Firstpage
    989
  • Lastpage
    992
  • Abstract
    Mine disaster occurred, underground power and communications systems were severely damaged, and cause great difficulties for the relief effort. Therefore, it has some practical value to design a suitable video network which is applied to underground. In this paper, we propose a simple scheme of wireless multimedia sensor network for mine rescue that combines the multiple descriptions transform coding (MDTC) method with the discrete wavelet transform (DWT), and propose the active images detection algorithm which can separate the active images from the background. Simulation result shows that this scheme has a good performance in video compression and reliable transmission.
  • Keywords
    coal; data compression; discrete wavelet transforms; mining industry; multimedia communication; object detection; telecommunication network reliability; transform coding; underground communication; video coding; wireless sensor networks; DWT; MDTC method; coal mine; discrete wavelet transform; image detection algorithm; mine disaster; multiple descriptions transform coding; transmission reliability; underground communication systems; video compression; video network; wireless multimedia sensor network; Discrete wavelet transforms; Image reconstruction; Image sensors; Intelligent sensors; Monitoring; Relays; Sensor phenomena and characterization; Transform coding; Video compression; Wireless sensor networks; WMSN; mine rescue; multiple description coding; video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-7279-6
  • Electronic_ISBN
    978-1-4244-7280-2
  • Type

    conf

  • DOI
    10.1109/ICICTA.2010.552
  • Filename
    5523594