• DocumentCode
    1062443
  • Title

    Incremental Adaptive Strategies Over Distributed Networks

  • Author

    Lopes, Cassio G. ; Sayed, Ali H.

  • Author_Institution
    Univ. of California, Los Angeles
  • Volume
    55
  • Issue
    8
  • fYear
    2007
  • Firstpage
    4064
  • Lastpage
    4077
  • Abstract
    An adaptive distributed strategy is developed based on incremental techniques. The proposed scheme addresses the problem of linear estimation in a cooperative fashion, in which nodes equipped with local computing abilities derive local estimates and share them with their predefined neighbors. The resulting algorithm is distributed, cooperative, and able to respond in real time to changes in the environment. Each node is allowed to communicate with its immediate neighbor in order to exploit the spatial dimension while limiting the communications burden at the same time. A spatial-temporal energy conservation argument is used to evaluate the steady-state performance of the individual nodes across the entire network. Computer simulations illustrate the results.
  • Keywords
    distributed algorithms; least mean squares methods; adaptive networks; diffusion algorithm; distributed networks; distributed processing; incremental adaptive strategies; incremental algorithm; linear estimation; spatial-temporal energy conservation argument; Chemical sensors; Computer simulation; Data mining; Distributed processing; Energy conservation; Network topology; Parameter estimation; Signal processing algorithms; Steady-state; Temperature sensors; Adaptive networks; consensus; cooperation; diffusion algorithm; distributed processing; incremental algorithm;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2007.896034
  • Filename
    4276978