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
Link To Document :
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