• DocumentCode
    1658912
  • Title

    FCM-based clustering performance analysis in network topology

  • Author

    Lu, Jun ; Bing, Qi

  • Author_Institution
    Sch. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing
  • fYear
    2008
  • Firstpage
    1652
  • Lastpage
    1655
  • Abstract
    This paper compared the clustering performance of the proposed FCM-based clustering scheme with HCM to the hierarchical topology optimization in overlay multicast. The paper firstly depicts the proposed scheme including 1) defining the clustering feature distance based on overlay path latency, 2) calculating the Euclidean distance within each pair of overlay nodes to construct the fuzzy membership matrix, and 3) dynamically adapting the fuzzy clustering threshold. Then it designed the experiments to analyze the clustering performance with HCM. The experiments illustrated that the FCM-based clustering scheme achieves better clustering performance for the topology optimization.
  • Keywords
    fuzzy set theory; multicast communication; optimisation; pattern clustering; telecommunication network topology; Euclidean distance; FCM-based clustering; fuzzy clustering; hierarchical topology optimization; network topology; overlay multicast; overlay path latency; performance analysis; Bandwidth; Circuit topology; Cost function; Euclidean distance; Network topology; Performance analysis; Power engineering and energy; Tree graphs; Unicast; Web and internet services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2008. ICSP 2008. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2178-7
  • Electronic_ISBN
    978-1-4244-2179-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2008.4697453
  • Filename
    4697453