Analysis of Distributed Wireless Sensor Systems with a Switched Quantizer
In this article, a switched quantizer is proposed to solve the bandwidth limitation application problem for distributed wireless sensor networks (WSNs). The proposed estimator based on switched quantitative event-triggered Kalman consensus filtering (KCF) algorithm is used to monitor the aircraft ca...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/6690761 |
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| _version_ | 1832561534844272640 |
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| author | Hui Sun Xianyu Wang Kaixin Yang Tongrui Peng |
| author_facet | Hui Sun Xianyu Wang Kaixin Yang Tongrui Peng |
| author_sort | Hui Sun |
| collection | DOAJ |
| description | In this article, a switched quantizer is proposed to solve the bandwidth limitation application problem for distributed wireless sensor networks (WSNs). The proposed estimator based on switched quantitative event-triggered Kalman consensus filtering (KCF) algorithm is used to monitor the aircraft cabin environmental parameters when suffering packet loss and path loss issues during the communication process for WSN. The quantization error of the novel switched quantizer structure is bounded, and the corresponding stability theory for the quantitative estimation approach is proved. Compared with other methods, the simulation results for the introduced method verify that the environmental parameters can be estimated accurately and timely and reduce the burden of network communication bandwidth. |
| format | Article |
| id | doaj-art-e717fda826444b8386b37d2a9febdb82 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-e717fda826444b8386b37d2a9febdb822025-02-03T01:24:53ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/66907616690761Analysis of Distributed Wireless Sensor Systems with a Switched QuantizerHui Sun0Xianyu Wang1Kaixin Yang2Tongrui Peng3College of Electronic Information and Automation, Civil Aviation University of China, South Campus, Tianjin 300300, ChinaTianjin College, University of Science and Technology Beijing, Tianjin 301830, ChinaTianjin College, University of Science and Technology Beijing, Tianjin 301830, ChinaCollege of Science, Shanghai Institute of Technology, Shanghai 200235, ChinaIn this article, a switched quantizer is proposed to solve the bandwidth limitation application problem for distributed wireless sensor networks (WSNs). The proposed estimator based on switched quantitative event-triggered Kalman consensus filtering (KCF) algorithm is used to monitor the aircraft cabin environmental parameters when suffering packet loss and path loss issues during the communication process for WSN. The quantization error of the novel switched quantizer structure is bounded, and the corresponding stability theory for the quantitative estimation approach is proved. Compared with other methods, the simulation results for the introduced method verify that the environmental parameters can be estimated accurately and timely and reduce the burden of network communication bandwidth.http://dx.doi.org/10.1155/2021/6690761 |
| spellingShingle | Hui Sun Xianyu Wang Kaixin Yang Tongrui Peng Analysis of Distributed Wireless Sensor Systems with a Switched Quantizer Complexity |
| title | Analysis of Distributed Wireless Sensor Systems with a Switched Quantizer |
| title_full | Analysis of Distributed Wireless Sensor Systems with a Switched Quantizer |
| title_fullStr | Analysis of Distributed Wireless Sensor Systems with a Switched Quantizer |
| title_full_unstemmed | Analysis of Distributed Wireless Sensor Systems with a Switched Quantizer |
| title_short | Analysis of Distributed Wireless Sensor Systems with a Switched Quantizer |
| title_sort | analysis of distributed wireless sensor systems with a switched quantizer |
| url | http://dx.doi.org/10.1155/2021/6690761 |
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