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
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;
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
DOI :
10.1109/CANS.2008.19