Distributed Filter with Consensus Strategies for Sensor Networks

Consensus algorithm for networked dynamic systems is an important research problem for data fusion in sensor networks. In this paper, the distributed filter with consensus strategies known as Kalman consensus filter and information consensus filter is investigated for state estimation of distributed...

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Bibliographic Details
Published inJournal of Applied Mathematics Vol. 2013; no. 2013; pp. 853 - 861-592
Main Authors Xie, Li, Caimou, Huang, Hu, Roland
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Limiteds 01.01.2013
Hindawi Puplishing Corporation
Hindawi Publishing Corporation
John Wiley & Sons, Inc
Wiley
Subjects
Algorithms
Dynamical systems
Dynamics
Electronic data processing
Engineering research
Kalman filtering
Mathematical models
Mathematical research
Networks
Optimization
Properties
Sensors
State estimation
Strategy
Wireless sensor networks
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Summary:Consensus algorithm for networked dynamic systems is an important research problem for data fusion in sensor networks. In this paper, the distributed filter with consensus strategies known as Kalman consensus filter and information consensus filter is investigated for state estimation of distributed sensor networks. Firstly, an in-depth comparison analysis between Kalman consensus filter and information consensus filter is given, and the result shows that the information consensus filter performs better than the Kalman consensus filter. Secondly, a novel optimization process to update the consensus weights is proposed based on the information consensus filter. Finally, some numerical simulations are given, and the experiment results show that the proposed method achieves better performance than the existing consensus filter strategies.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1110-757X
1687-0042
DOI:10.1155/2013/683249