• DocumentCode
    2783942
  • Title

    A novel cooperative image transmission scheme in Wireless Sensor Networks

  • Author

    Ma, Tao ; Hempel, Michael ; Hua, Kun ; Peng, Dongming ; Sharif, Hamid

  • Author_Institution
    Comput. & Electron. Eng., Univ. of Nebraska-Lincoln, Lincoln, NE, USA
  • fYear
    2010
  • fDate
    10-14 Oct. 2010
  • Firstpage
    240
  • Lastpage
    243
  • Abstract
    Reducing transmission energy consumption is one of the most critical research issues in the area of Wireless Sensor Networks (WSNs). In this paper, we present our scheme for employing collaborative signal enhancement to achieve energy efficient image transmissions in WSNs. A collaborative signal enhancement approach is compelling due to its capability of saving individual energy consumption by spreading total transmission consumption over multiple sensors. Individual packets describing an embedded wavelet-encoded image exhibit a significantly unequal contribution towards image quality. By leveraging this fact we develop a strategy of appropriately selecting the number of collaborative sensors for each packet transmission in order to achieve the highest possible image quality given a restricted transmission energy consumption budget. Experimental results show that our proposed approach can provide about 2dB higher image quality under the same energy budget compared with the state-of-the-art collaborative transmission scheme in WSN literature.
  • Keywords
    image coding; wavelet transforms; wireless sensor networks; collaborative signal enhancement; cooperative image transmission scheme; embedded wavelet-encoded image; image quality; restricted transmission energy consumption budget; transmission energy consumption reduction; wireless sensor networks; Collaboration; Image communication; Image quality; Image sensors; Mathematical model; Sensors; Wireless sensor networks; collaborative transmission; energy efficiency; image transmission; multimedia; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Local Computer Networks (LCN), 2010 IEEE 35th Conference on
  • Conference_Location
    Denver, CO
  • ISSN
    0742-1303
  • Print_ISBN
    978-1-4244-8387-7
  • Type

    conf

  • DOI
    10.1109/LCN.2010.5735711
  • Filename
    5735711