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Adaptive consensus averaging for information fusion over sensor networks

Talebi, M. S ; Sharif University of Technology | 2006

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  1. Type of Document: Article
  2. DOI: 10.1109/MOBHOC.2006.278610
  3. Publisher: IEEE Computer Society , 2006
  4. Abstract:
  5. This paper introduces adaptive consensus, a spatio-temporal adaptive method to improve convergence behavior of the current consensus fusion schemes. This is achieved by introducing a time adaptive weighting method for updating each sensor data in each iteration. Adaptive consensus method will improve node convergence rate, average convergence rate and the variance of error over the network. A mathematical formulation of the method according to the adaptive filter theory as well as derivation of the time adaptive weights and convergence conditions are presented. The analytical results are verified by simulation as well. ©2006 IEEE
  6. Keywords:
  7. Convergence of numerical methods ; Data processing ; Mathematical models ; Sensor networks ; Adaptive filter theory ; Convergence conditions ; Adaptive systems
  8. Source: 2006 IEEE International Conference on Mobile Ad Hoc and Sensor Sysetems, MASS, Vancouver, BC, 9 October 2006 through 12 October 2006 ; Volume 1 , 2006 , Pages 562-565 ; 1424405076 (ISBN); 9781424405077 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4053956?arnumber=4053956