• DocumentCode
    2147810
  • Title

    Distributed routing in networks using affinity propagation

  • Author

    Shamaiah, Manohar ; Lee, Sang Hyun ; Vishwanath, Sriram ; Vikalo, Haris

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
  • fYear
    2011
  • fDate
    22-27 May 2011
  • Firstpage
    3036
  • Lastpage
    3039
  • Abstract
    This paper applies affinity propagation (AP) to develop distributed solutions for routing over networks. AP is a message passing algorithm for unsupervised learning. This paper demonstrates that AP can be generalized and applied to a wide class of problems in networking. In particular, AP can be used to develop distributed routing mechanisms for networks. Simulation results demonstrate that the proposed schemes compare favorably with the existing methods.
  • Keywords
    learning (artificial intelligence); message passing; pattern clustering; telecommunication network routing; affinity propagation; distributed network routing; message passing algorithm; unsupervised learning; Approximation algorithms; Clustering algorithms; Euclidean distance; Optimization; Resource management; Routing; Wireless communication; Affinity propagation; Distributed routing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
  • Conference_Location
    Prague
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4577-0538-0
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2011.5946298
  • Filename
    5946298