A New Belief-Rule-Based Method for Fault Diagnosis of Wireless Sensor Network
In the technology of wireless sensor network (WSN), wireless sensor fault diagnosis based on fusion data analysis has attracted attention in the wireless sensor field. It can detect and correct the faults of sensor nodes in time to improve the accuracy of sensor data fusion. In this paper, the data...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2018-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8300529/ |
| _version_ | 1818415394510077952 |
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| author | Wei He Pei-Li Qiao Zhi-Jie Zhou Guan-Yu Hu Zhi-Chao Feng Hang Wei |
| author_facet | Wei He Pei-Li Qiao Zhi-Jie Zhou Guan-Yu Hu Zhi-Chao Feng Hang Wei |
| author_sort | Wei He |
| collection | DOAJ |
| description | In the technology of wireless sensor network (WSN), wireless sensor fault diagnosis based on fusion data analysis has attracted attention in the wireless sensor field. It can detect and correct the faults of sensor nodes in time to improve the accuracy of sensor data fusion. In this paper, the data characteristics of WSN are analyzed, and a method is proposed for fault diagnosis of WSN based on a belief rule base (BRB) model. First, the sensor fault diagnosis process is described based on the characteristics of a wireless sensor in WSN. Then, the characteristics of sensors are analyzed from the aspects of time, space, and attributes. Finally, a fault diagnosis model is proposed based on the hierarchical BRB model. To make the results more accurate, a covariance matrix adaptation evolution strategy algorithm is used to optimize the initial parameters of the proposed model. A case study using the Intel lab data set of sensors is designed to verify the effectiveness of the proposed model. The results show that the proposed method is effective in fault diagnosis of WSN. |
| first_indexed | 2024-12-14T11:34:18Z |
| format | Article |
| id | doaj.art-84bb936b547449b688a04d00fa7aee0d |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T11:34:18Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-84bb936b547449b688a04d00fa7aee0d2022-12-21T23:03:08ZengIEEEIEEE Access2169-35362018-01-0169404941910.1109/ACCESS.2018.28086058300529A New Belief-Rule-Based Method for Fault Diagnosis of Wireless Sensor NetworkWei He0https://orcid.org/0000-0003-4523-8242Pei-Li Qiao1Zhi-Jie Zhou2Guan-Yu Hu3Zhi-Chao Feng4https://orcid.org/0000-0001-7652-049XHang Wei5https://orcid.org/0000-0002-7407-8738School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, ChinaSchool of Computer Science and Technology, Harbin University of Science and Technology, Harbin, ChinaHigh-Tech Institute of Xi’an, Xi’an, ChinaSchool of Information Science and Technology, Hainan Normal University, Haikou, ChinaHigh-Tech Institute of Xi’an, Xi’an, ChinaSchool of Computer Science and Technology, Harbin University of Science and Technology, Harbin, ChinaIn the technology of wireless sensor network (WSN), wireless sensor fault diagnosis based on fusion data analysis has attracted attention in the wireless sensor field. It can detect and correct the faults of sensor nodes in time to improve the accuracy of sensor data fusion. In this paper, the data characteristics of WSN are analyzed, and a method is proposed for fault diagnosis of WSN based on a belief rule base (BRB) model. First, the sensor fault diagnosis process is described based on the characteristics of a wireless sensor in WSN. Then, the characteristics of sensors are analyzed from the aspects of time, space, and attributes. Finally, a fault diagnosis model is proposed based on the hierarchical BRB model. To make the results more accurate, a covariance matrix adaptation evolution strategy algorithm is used to optimize the initial parameters of the proposed model. A case study using the Intel lab data set of sensors is designed to verify the effectiveness of the proposed model. The results show that the proposed method is effective in fault diagnosis of WSN.https://ieeexplore.ieee.org/document/8300529/Wireless sensor network (WSN)fault diagnosisbelief rule base (BRB)covariance matrix adaptation evolution strategy (CMA-ES) algorithm |
| spellingShingle | Wei He Pei-Li Qiao Zhi-Jie Zhou Guan-Yu Hu Zhi-Chao Feng Hang Wei A New Belief-Rule-Based Method for Fault Diagnosis of Wireless Sensor Network IEEE Access Wireless sensor network (WSN) fault diagnosis belief rule base (BRB) covariance matrix adaptation evolution strategy (CMA-ES) algorithm |
| title | A New Belief-Rule-Based Method for Fault Diagnosis of Wireless Sensor Network |
| title_full | A New Belief-Rule-Based Method for Fault Diagnosis of Wireless Sensor Network |
| title_fullStr | A New Belief-Rule-Based Method for Fault Diagnosis of Wireless Sensor Network |
| title_full_unstemmed | A New Belief-Rule-Based Method for Fault Diagnosis of Wireless Sensor Network |
| title_short | A New Belief-Rule-Based Method for Fault Diagnosis of Wireless Sensor Network |
| title_sort | new belief rule based method for fault diagnosis of wireless sensor network |
| topic | Wireless sensor network (WSN) fault diagnosis belief rule base (BRB) covariance matrix adaptation evolution strategy (CMA-ES) algorithm |
| url | https://ieeexplore.ieee.org/document/8300529/ |
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