NDLI: Polynomial Time Construction Algorithm of BCNC for Network Coding in Cyclic Networks

Content Provider	IEEE Xplore Digital Library
Author	Jiaqing Huang Liang Wang Wenqing Cheng Hui Li
Copyright Year	2009
Abstract	Network coding in cyclic networks meets more problems than in acyclic networks. Recently, S.-Y.R.Li et al.proposed a framework of convolutional network coding (CNC) as well as its four properties for cyclic networks with theoretic fundamentals of discrete valuation ring (DVR). The four properties, Convolutional Multicast (CM), Convolutional Broadcast (CB), Convolutional Dispersion (CD) and Basic Convolutional NetworkCode (BCNC), are notions of increasing strength in this order with regard to linear independence among the global encoding kernels. The existence of a BCNC then implies the existence ofthe rest. That is, BCNC is the best convolutional network code in terms of linear independence. However, the code construction algorithm of BCNC was not presented explicitly. To the best of our knowledge, this is the first paper to propose a polynomial time construction algorithm of BCNC for network coding in cyclic networks, which can deal with different characteristics of cycles in terms of topology, including link cycles but flow acyclic, simpleflow cycles and knots. Finally, polynomial time complexity of the algorithm was proved as well as its effectiveness.
Starting Page	228
Ending Page	233
File Size	404453
Page Count	6
File Format	PDF
ISBN	9780769536415
DOI	10.1109/ICIS.2009.52
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-01
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Polynomials Network coding Convolutional codes Broadcasting Dispersion Multicast algorithms Encoding Kernel Computer numerical control Laboratories cyclic networks network coding convolutional network coding
Content Type	Text
Resource Type	Article

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