Incremental Adaptive Strategies Over Distributed Networks

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 re...

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Bibliographic Details
Published in:IEEE transactions on signal processing 2007-08, Vol.55 (8), p.4064-4077
Main Authors: Lopes, C.G., Sayed, A.H.
Format: Article
Language:English
Subjects:
Adaptive networks
Algorithms
Applied sciences
Chemical sensors
Computer simulation
consensus
Constraining
cooperation
Data mining
diffusion algorithm
Distributed processing
Energy conservation
Exact sciences and technology
incremental algorithm
Information, signal and communications theory
Miscellaneous
Network topology
Networks
Parameter estimation
Performance evaluation
Real time
Signal processing
Signal processing algorithms
Steady-state
Strategy
Telecommunications and information theory
Temperature sensors
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Description
Summary: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.
ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2007.896034