Hybrid detection algorithm for online faulty sensors identification in wireless sensor networks

IF 1.5 Q3 TELECOMMUNICATIONS IET Wireless Sensor Systems Pub Date : 2020-12-01 DOI:10.1049/iet-wss.2020.0053
Walaa Ibrahim Gabr, Mona A. Ahmed, Omar M. Salim
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引用次数: 3

Abstract

Wireless sensor network (WSN) is a developed wireless network consisting of some connected sensor nodes. The WSN is employed in many fields such as military, industrial, and environmental monitoring applications. These nodes are equipped with sensors for sensing the environmental variables such as temperature, humidity, wind speed, and so on. In most applications, WSN is positioned in remote places and harsh environments, where they are most probably exposed to faults. Hence, faulty sensor identification is one of the most fundamental tasks to be considered in WSN. This study suggests a hybrid methodology based on mutual information change (MIC) and wavelet transform (WT) for faulty sensor identification. The MIC method is suggested to study correlation among sensors, while the WT technique is proposed for self-sensor detection. WT is suitable for analysing non-stationary signals into approximation and detail coefficients. The suggested algorithm performance is investigated by applying a real case study at an arbitrary location close to Cairo, Egypt. The results of each method are compared using the true positive rate (TPR), false negative rate, and accuracy measures. Obtained results have shown that combining MIC and WT techniques can achieve a higher TPR and accuracy reach 100% in most fault types.

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无线传感器网络中故障传感器在线识别的混合检测算法
无线传感器网络(WSN)是由若干连接的传感器节点组成的发达的无线网络。无线传感器网络广泛应用于军事、工业、环境监测等领域。这些节点配备了传感器,用于感知环境变量,如温度、湿度、风速等。在大多数应用中,WSN定位在偏远的地方和恶劣的环境中,在这些地方它们最有可能暴露在故障中。因此,故障传感器识别是WSN中需要考虑的最基本的任务之一。本文提出了一种基于互信息变化和小波变换的故障传感器识别混合方法。提出了MIC方法来研究传感器之间的相关性,而WT技术用于自传感器检测。小波变换适用于将非平稳信号分析为近似系数和细节系数。通过在埃及开罗附近的任意地点应用实际案例研究,对所建议的算法性能进行了调查。使用真阳性率(TPR)、假阴性率和准确性测量方法对每种方法的结果进行比较。结果表明,在大多数故障类型中,MIC和WT相结合可以获得较高的TPR,准确率达到100%。
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来源期刊
IET Wireless Sensor Systems
IET Wireless Sensor Systems TELECOMMUNICATIONS-
CiteScore
4.90
自引率
5.30%
发文量
13
审稿时长
33 weeks
期刊介绍: IET Wireless Sensor Systems is aimed at the growing field of wireless sensor networks and distributed systems, which has been expanding rapidly in recent years and is evolving into a multi-billion dollar industry. The Journal has been launched to give a platform to researchers and academics in the field and is intended to cover the research, engineering, technological developments, innovative deployment of distributed sensor and actuator systems. Topics covered include, but are not limited to theoretical developments of: Innovative Architectures for Smart Sensors;Nano Sensors and Actuators Unstructured Networking; Cooperative and Clustering Distributed Sensors; Data Fusion for Distributed Sensors; Distributed Intelligence in Distributed Sensors; Energy Harvesting for and Lifetime of Smart Sensors and Actuators; Cross-Layer Design and Layer Optimisation in Distributed Sensors; Security, Trust and Dependability of Distributed Sensors. The Journal also covers; Innovative Services and Applications for: Monitoring: Health, Traffic, Weather and Toxins; Surveillance: Target Tracking and Localization; Observation: Global Resources and Geological Activities (Earth, Forest, Mines, Underwater); Industrial Applications of Distributed Sensors in Green and Agile Manufacturing; Sensor and RFID Applications of the Internet-of-Things ("IoT"); Smart Metering; Machine-to-Machine Communications.
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