DocumentCode
3274154
Title
Towards a Channel Capacity of Communication Networks
Author
Emmert-Streib, Frank ; Dehmer, Matthias
Author_Institution
Center for Cancer Res. & Cell Biol., Queen´´s Univ. Belfast, Belfast, UK
fYear
2008
fDate
8-10 Nov. 2008
Firstpage
94
Lastpage
99
Abstract
We propose a new measure that quantifies the communication capabilities of networks. More precisely, in this paper we show that the well known channel capacity of a memoryless channel, introduced in information theory, can be defined for arbitrary directed networks. We argue that this new measure, which we call network channel capacity, might be useful for characterizing and classifying communication networks. As first examples we present results for random networks and discuss practical implications.
Keywords
Markov processes; channel capacity; information theory; memoryless systems; channel capacity; communication networks; information theory; memoryless channel; Biomedical measurements; Channel capacity; Communication channels; Communication networks; Complex networks; Computational and artificial intelligence; Information theory; Learning systems; Markov processes; Memoryless systems; Channel Capacity; Information Theory; Markov Chain; Networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Complexity and Intelligence of the Artificial and Natural Complex Systems, Medical Applications of the Complex Systems, Biomedical Computing, 2008. CANS '08. First International Conference on
Conference_Location
Targu Mures, Mures
Print_ISBN
978-0-7695-3621-7
Type
conf
DOI
10.1109/CANS.2008.19
Filename
5231493
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