A Lightweight Fault-Detection Scheme for Resource-Constrained Solar Insecticidal Lamp IoTs
The Solar Insecticidal Lamp Internet of Things (SIL-IoTs) is an emerging paradigm that extends Internet of Things (IoT) technology to agricultural-enabled electronic devices. Ensuring the dependability and safety of SIL-IoTs is crucial for pest monitoring, prediction, and prevention. However, SIL-Io...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/15/6672 |
| _version_ | 1797586058709303296 |
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| author | Xing Yang Lei Shu Kailiang Li Edmond Nurellari Zhiqiang Huo Yu Zhang |
| author_facet | Xing Yang Lei Shu Kailiang Li Edmond Nurellari Zhiqiang Huo Yu Zhang |
| author_sort | Xing Yang |
| collection | DOAJ |
| description | The Solar Insecticidal Lamp Internet of Things (SIL-IoTs) is an emerging paradigm that extends Internet of Things (IoT) technology to agricultural-enabled electronic devices. Ensuring the dependability and safety of SIL-IoTs is crucial for pest monitoring, prediction, and prevention. However, SIL-IoTs can experience system performance degradation due to failures, which can be attributed to complex environmental changes and device deterioration in agricultural settings. This study proposes a sensor-level lightweight fault-detection scheme that takes into account realistic constraints such as computational resources and energy. By analyzing fault characteristics, we designed a distributed fault-detection method based on operation condition differences, interval number residuals, and feature residuals. Several experiments were conducted to validate the effectiveness of the proposed method. The results demonstrated that our method achieves an average F1-score of 95.59%. Furthermore, the proposed method only consumes an additional 0.27% of the total power, and utilizes 0.9% RAM and 3.1% Flash on the Arduino of the SIL-IoTs node. These findings indicated that the proposed method is lightweight and energy-efficient. |
| first_indexed | 2024-03-11T00:17:54Z |
| format | Article |
| id | doaj.art-e3f91a8787c94b10b81e4f3186250a22 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T00:17:54Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-e3f91a8787c94b10b81e4f3186250a222023-11-18T23:32:54ZengMDPI AGSensors1424-82202023-07-012315667210.3390/s23156672A Lightweight Fault-Detection Scheme for Resource-Constrained Solar Insecticidal Lamp IoTsXing Yang0Lei Shu1Kailiang Li2Edmond Nurellari3Zhiqiang Huo4Yu Zhang5College of Engineering, Nanjing Agricultural University, Nanjing 210031, ChinaCollege of Artificial Intelligence, Nanjing Agricultural University, Nanjing 210031, ChinaCollege of Artificial Intelligence, Nanjing Agricultural University, Nanjing 210031, ChinaCollege of Engineering, University of Lincoln, Lincoln LN6 7TS, UKDepartment of Population Health Science, King’s College London, London SE1 8WA, UKDepartment of Aeronautical and Automotive Engineering, Loughborough University, Loughborough LE11 3TU, UKThe Solar Insecticidal Lamp Internet of Things (SIL-IoTs) is an emerging paradigm that extends Internet of Things (IoT) technology to agricultural-enabled electronic devices. Ensuring the dependability and safety of SIL-IoTs is crucial for pest monitoring, prediction, and prevention. However, SIL-IoTs can experience system performance degradation due to failures, which can be attributed to complex environmental changes and device deterioration in agricultural settings. This study proposes a sensor-level lightweight fault-detection scheme that takes into account realistic constraints such as computational resources and energy. By analyzing fault characteristics, we designed a distributed fault-detection method based on operation condition differences, interval number residuals, and feature residuals. Several experiments were conducted to validate the effectiveness of the proposed method. The results demonstrated that our method achieves an average F1-score of 95.59%. Furthermore, the proposed method only consumes an additional 0.27% of the total power, and utilizes 0.9% RAM and 3.1% Flash on the Arduino of the SIL-IoTs node. These findings indicated that the proposed method is lightweight and energy-efficient.https://www.mdpi.com/1424-8220/23/15/6672distributed fault detectionsolar insecticidal lamps internet of thingsquantile methodtwo-hop information |
| spellingShingle | Xing Yang Lei Shu Kailiang Li Edmond Nurellari Zhiqiang Huo Yu Zhang A Lightweight Fault-Detection Scheme for Resource-Constrained Solar Insecticidal Lamp IoTs Sensors distributed fault detection solar insecticidal lamps internet of things quantile method two-hop information |
| title | A Lightweight Fault-Detection Scheme for Resource-Constrained Solar Insecticidal Lamp IoTs |
| title_full | A Lightweight Fault-Detection Scheme for Resource-Constrained Solar Insecticidal Lamp IoTs |
| title_fullStr | A Lightweight Fault-Detection Scheme for Resource-Constrained Solar Insecticidal Lamp IoTs |
| title_full_unstemmed | A Lightweight Fault-Detection Scheme for Resource-Constrained Solar Insecticidal Lamp IoTs |
| title_short | A Lightweight Fault-Detection Scheme for Resource-Constrained Solar Insecticidal Lamp IoTs |
| title_sort | lightweight fault detection scheme for resource constrained solar insecticidal lamp iots |
| topic | distributed fault detection solar insecticidal lamps internet of things quantile method two-hop information |
| url | https://www.mdpi.com/1424-8220/23/15/6672 |
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