SILOS: An Intelligent Fault Detection Scheme for Solar Insecticidal Lamp IoTs with Improved Energy Efficiency

Yang, Xing, Shu, Lei, Li, Kailiang , Huo, Zhiqiang and Nurellari, Edmond (2022) SILOS: An Intelligent Fault Detection Scheme for Solar Insecticidal Lamp IoTs with Improved Energy Efficiency. IEEE Internet of Things Journal . ISSN 2327-4662

Full content URL: https://doi.org/10.1109/JIOT.2022.3209162

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Abstract

Solar Insecticidal Lamp Internet of Things (SIL-IoTs) nodes are susceptible to failures due to the harsh environment, burn-in, theft, and vandalism in the agricultural setting. Most state-of-the-art research mainly focuses on fault detection
without considering hardware and communication performance in terms of potential fault modes, energy consumption, and network loads. This study presents a completely decentralized solution, namely a SIL-Oriented binary Sliding window-based fault self-detection scheme (SILOS), which can be performed on each SIL-IoTs node. The problem we are trying to answer is how to detect faults as accurately as possible while keeping the communication overhead, memory, and computational costs low. Specifically, we develop a fault dictionary concept to 1) model the faults of SIL-IoTs nodes, 2) construct the fault dictionary according to the characteristics of measurements, and 3) detect faults via the fault dictionary. In addition, a binary-based sliding window (BSW) fault self-detection approach is proposed to save detection costs and reduce the false alarm rate (with only 92B system caches). A series of experiments are performed to evaluate the performance of the proposed method. The result demonstrates that the BSW method can detect faults with an average accuracy of 99.14% with less than 1% energy consumption. By only sending the fault code, 71B data (i.e., data transmitting and forwarding) can be reduced, saving energy consumption, and decreasing network congestion.

Keywords:Fault Self-Detection, Solar Insecticidal Lamp Internet of Things, Arduino, Sliding Window, Fault Dictionary, Hardware design
Subjects:H Engineering > H661 Instrumentation Control
H Engineering > H730 Mechatronics
D Veterinary Sciences, Agriculture and related subjects > D441 Farm Management
H Engineering > H620 Electrical Engineering
D Veterinary Sciences, Agriculture and related subjects > D414 Crop Protection
H Engineering > H150 Engineering Design
D Veterinary Sciences, Agriculture and related subjects > D400 Agriculture
H Engineering > H610 Electronic Engineering
Divisions:College of Science > School of Engineering
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ID Code:51948
Deposited On:12 Oct 2022 15:15

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