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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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2013/683249 |
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| _version_ | 1832558675138445312 |
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| author | Xie Li Huang Caimou Hu Haoji |
| author_facet | Xie Li Huang Caimou Hu Haoji |
| author_sort | Xie Li |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-a24952034aa64e0bb6287c44c518d8af |
| institution | Kabale University |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-a24952034aa64e0bb6287c44c518d8af2025-02-03T01:31:50ZengWileyJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/683249683249Distributed Filter with Consensus Strategies for Sensor NetworksXie Li0Huang Caimou1Hu Haoji2Faculty of Information, Zhejiang University, Hangzhou 310027, ChinaFaculty of Information, Zhejiang University, Hangzhou 310027, ChinaFaculty of Information, Zhejiang University, Hangzhou 310027, ChinaConsensus 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.http://dx.doi.org/10.1155/2013/683249 |
| spellingShingle | Xie Li Huang Caimou Hu Haoji Distributed Filter with Consensus Strategies for Sensor Networks Journal of Applied Mathematics |
| title | Distributed Filter with Consensus Strategies for Sensor Networks |
| title_full | Distributed Filter with Consensus Strategies for Sensor Networks |
| title_fullStr | Distributed Filter with Consensus Strategies for Sensor Networks |
| title_full_unstemmed | Distributed Filter with Consensus Strategies for Sensor Networks |
| title_short | Distributed Filter with Consensus Strategies for Sensor Networks |
| title_sort | distributed filter with consensus strategies for sensor networks |
| url | http://dx.doi.org/10.1155/2013/683249 |
| work_keys_str_mv | AT xieli distributedfilterwithconsensusstrategiesforsensornetworks AT huangcaimou distributedfilterwithconsensusstrategiesforsensornetworks AT huhaoji distributedfilterwithconsensusstrategiesforsensornetworks |