A Random Linear Network Coding Approach to Multicast

We present a distributed random linear network coding approach for transmission and compression of information in general multisource multicast networks. Network nodes independently and randomly select linear mappings from inputs onto output links over some field. We show that this achieves capacity...

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Veröffentlicht in:	IEEE transactions on information theory Jg. 52; H. 10; S. 4413 - 4430
Hauptverfasser:	Ho, T., Medard, M., Koetter, R., Karger, D.R., Effros, M., Jun Shi, Leong, B.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.10.2006 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Applied sciences Artificial intelligence Associate members Capacity planning Codes Coding Coding, codes Communications networks Compressing Computer networks Computer science Data compression Data transmission Derivation Distributed compression distributed networking Exact sciences and technology Information, signal and communications theory Laboratories Links Multicast Network coding Networks random linear coding Robustness Routing Signal and communications theory Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) Vectors network coding Data compression Mapping Distributed compression Random coding Failures Data broadcast Information dissemination Nodes random linear coding Multicast Linear coding Decentralized system Network routing Robustness distributed networking
ISSN:	0018-9448, 1557-9654
Online-Zugang:	Volltext
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