• 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