Distributed Distortion Optimization for Correlated Sources with Network Coding

We consider lossy data compression in capacity-constrained networks with correlated sources. We derive, using dual decomposition, a distributed algorithm that maximizes an aggregate utility measure defined in terms of the distortion levels of the sources. No coordination among sources is required; e...

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Bibliographic Details
Published in:	IEEE transactions on communications Vol. 60; no. 5; pp. 1336 - 1344
Main Authors:	Tao Cui, Lijun Chen, Ho, T.
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.05.2012 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Applied sciences Coding Coding, codes Convergence Correlation Data compression Distortion Exact sciences and technology Information, signal and communications theory multicast Network coding Networks Optimization rate allocation Rate-distortion Resource management Signal and communications theory Source coding Switching and signalling Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) Wyner-Ziv Lossy compression Wyner-Ziv Packet switching High resolution Source coding Data compression Resource allocation Rate distortion theory rate allocation Time variation Data broadcast Information dissemination Optimization Convergence speed Multicast Distributed algorithm Convergence rate Network coding Numerical simulation Wyner Ziv problem Resource management
ISSN:	0090-6778, 1558-0857
Online Access:	Get full text
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