• DocumentCode
    493100
  • Title

    An Architecture for Energy Efficient Image Transmission in WSNs

  • Author

    Lu, Qin ; Ye, Xiangbin ; Du, Liebo

  • Author_Institution
    Coll. of Mechatron. Eng. & Autom., Nat. Univ. of Defense Technol., Changsha
  • Volume
    1
  • fYear
    2009
  • fDate
    25-26 April 2009
  • Firstpage
    296
  • Lastpage
    299
  • Abstract
    In traditional WSNs, sensor nodes usually compress the data before sending them to the cluster head. However, this strategy may not be suitable for image transmission. If the image compression task rests mostly on camera-equipped node, it will deplete its energy quickly. To prolong the network lifetime, a novel network architecture is proposed in this paper. Except the camera-equipped nodes, all the normal sensor nodes are organized into clusters. The camera-equipped node does not join the cluster nearby directly. It forms its own cluster and transmits the raw image to the members in the cluster. These members in the camera-node cluster also belong to the normal-node clusters. They share the task of image compression and take the responsibility to transmit the compressed image to the cluster head. Simulation results show that the proposed architecture can greatly prolong the lifetime of the network many times in the case of the sensor nodes deployed densely.
  • Keywords
    data compression; image coding; image sensors; telecommunication network reliability; visual communication; wireless sensor networks; camera-equipped node; data compression; image compression; image transmission; network architecture; network lifetime; sensor node; wireless sensor network; Computer architecture; Computer networks; Energy efficiency; Head; Image coding; Image communication; Image sensors; Scheduling; Time division multiple access; Wireless sensor networks; WSNs; cluster; image transmission; network architecture; network lifetime;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networks Security, Wireless Communications and Trusted Computing, 2009. NSWCTC '09. International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-1-4244-4223-2
  • Type

    conf

  • DOI
    10.1109/NSWCTC.2009.198
  • Filename
    4908268