• DocumentCode
    248099
  • Title

    Energy consumption analysis and modelling of a H.264/AVC intra-only based encoder dedicated to WVSNs

  • Author

    Alaoui-Fdili, Othmane ; Fakhri, Youssef ; Corlay, Patrick ; Coudoux, Francois-Xavier ; Aboutajdine, Driss

  • Author_Institution
    LRIT, Univ. Mohammed V-Agdal, Rabat, Morocco
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    1189
  • Lastpage
    1193
  • Abstract
    This paper proposes a model to predict the energy consumption of a H.264/AVC intra-only based encoder designed for the wireless video sensor networks (WVSNs). Such model is of great interest in an energy-constrained context like the WVSN, where the video streams are processed prior to transmission. In fact, accounting for both processing´s and transmission´s consumed energies allows the optimization of the global energy consumption. The proposed model predicts the processing´s energy consumption based on the considered Quantization Parameter (QP) and the Frame Rate (FR) values. The generic form of this model enables it to predict the energy consumption of any H.264/AVC intra-only based encoder. Simulation results demonstrate the accuracy of the proposed model, that is validated under different resolutions, QP and FR, with an average prediction error of 4%.
  • Keywords
    optimisation; quantisation (signal); video coding; video streaming; wireless sensor networks; H.264-AVC; WVSN; energy consumption analysis; energy-constrained context; frame rate values; global energy consumption optimization; intra-only based encoder; quantization parameter; video streams; wireless video sensor networks; Encoding; Energy consumption; Predictive models; Video coding; Video compression; Wireless communication; Wireless sensor networks; Energy consumption modelling; H.264/AVC; video compression; wireless video sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7025237
  • Filename
    7025237