Hierarchical Performance Analysis on Random Linear Network Coding

Random linear network coding (RLNC) is a promising network coding solution when the network topology information is not fully available to all the nodes. However, in practice, nodes have partial knowledge of the network topology information. Motivated by this, we investigate the performance of RLNC...

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Bibliographic Details
Published in:	IEEE transactions on communications Vol. 66; no. 5; pp. 2009 - 2021
Main Authors:	Li, Dan, Guang, Xuan, Zhou, Zhiheng, Li, Congduan, Tan, Chee Wei
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.05.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	asymptotic behavior Asymptotic properties Coding Decoding Encoding failure probability hierarchical performance Knowledge management Network coding Network topologies Network topology Nodes Peer-to-peer computing Performance analysis Random linear network coding Upper bound Upper bounds
ISSN:	0090-6778, 1558-0857
Online Access:	Get full text
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