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
Link To Document :
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