Distributed Filter with Consensus Strategies for Sensor Networks
Joint Authors
Caimou, Huang
Xie, Li
Hu, Roland
Source
Journal of Applied Mathematics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-26
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Xie, Li& Caimou, Huang& Hu, Roland. 2013. Distributed Filter with Consensus Strategies for Sensor Networks. Journal of Applied Mathematics،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-490242
Modern Language Association (MLA)
Xie, Li…[et al.]. Distributed Filter with Consensus Strategies for Sensor Networks. Journal of Applied Mathematics No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-490242
American Medical Association (AMA)
Xie, Li& Caimou, Huang& Hu, Roland. Distributed Filter with Consensus Strategies for Sensor Networks. Journal of Applied Mathematics. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-490242
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-490242