• DocumentCode
    2267689
  • Title

    Energy Efficient Multiple Description Coding for Video Sensor Network

  • Author

    Sarif, Bambang A B ; Leung, Victor C M ; Nasiopoulos, Panos

  • Author_Institution
    Electr. & Comput. Eng. Dept., Univ. of British Columbia, Vancouver, BC, Canada
  • fYear
    2011
  • fDate
    26-28 May 2011
  • Firstpage
    153
  • Lastpage
    158
  • Abstract
    Video transmission over wireless sensor networks (WSN) is a very challenging research field. With sensor nodes operate on limited energy resource, computational power and network bandwidth, energy efficient coding and transmission are of extreme important. As opposed to normal video system, video sensor network (VSN) system needs to provide high quality information only when situation calls for it. However, a certain degree of quality has to be guaranteed, especially for the region of interest (ROI) part. In this paper, a simple technique based on multiple description coding (MDC) to reduce the amount of information transmitted while maintaining a higher quality standard for the ROI part of the frame is proposed. Experimental results show some significant gain in energy conservation as compared to the existing techniques.
  • Keywords
    electronic data interchange; energy conservation; power aware computing; power consumption; video coding; wireless sensor networks; computational power; energy conservation; energy efficient multiple description coding; energy resource; network bandwidth; quality information; region of interest; video sensor network system; video transmission; wireless sensor networks; Discrete cosine transforms; Image coding; PSNR; Pixel; Receivers; Transform coding; Wireless sensor networks; JPEG; multiple descriptions coding; video sensor network; wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing with Applications Workshops (ISPAW), 2011 Ninth IEEE International Symposium on
  • Conference_Location
    Busan
  • Print_ISBN
    978-1-4577-0524-3
  • Electronic_ISBN
    978-0-7695-4429-8
  • Type

    conf

  • DOI
    10.1109/ISPAW.2011.43
  • Filename
    5951966