• DocumentCode
    1833945
  • Title

    Non-adaptive distributed compression in networks

  • Author

    Nabaee, Mojtaba ; Labeau, Fabrice

  • Author_Institution
    ECE Dept., McGill Univ., Montreal, QC, Canada
  • fYear
    2013
  • fDate
    11-14 Aug. 2013
  • Firstpage
    239
  • Lastpage
    244
  • Abstract
    In this paper, we discuss non-adaptive distributed compression of inter-node correlated real-valued messages. To do so, we discuss the performance of conventional packet forwarding via routing, in terms of the total network load versus the resulting quality of service (distortion level). As a better alternative for packet forwarding, we briefly describe our previously proposed one-step Quantized Network Coding (QNC), and make motivating arguments on its advantage when the appropriate marginal rates for distributed source coding are not available at the encoder source nodes. We also derive analytic guarantees on the resulting distortion of our one-step QNC scenario. Finally, we conclude the paper by providing a mathematical comparison between the total network loads of one-step QNC and conventional packet forwarding, showing a significant reduction in the case of one-step QNC.
  • Keywords
    network coding; quality of service; source coding; telecommunication network routing; QNC; distributed source coding; encoder source nodes; inter-node correlated real-valued messages; nonadaptive distributed compression; one-step quantized network coding; packet forwarding; quality of service; routing; total network load; Bayes methods; Compressed sensing; Decoding; Network coding; Quantization (signal); Source coding; Bayesian compressed sensing; Linear network coding; distributed source coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE), 2013 IEEE
  • Conference_Location
    Napa, CA
  • Print_ISBN
    978-1-4799-1614-6
  • Type

    conf

  • DOI
    10.1109/DSP-SPE.2013.6642597
  • Filename
    6642597