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Heterogeneous Hardware Fault-Detection Scheme for Large Scale Wireless Sensor Networks

机译:用于大型无线传感器网络的异构硬件故障检测方案

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Recently, Wireless Sensor Networks (WSNs) have become a key technology in various applications. Sensor nodes are prone to many types of failures such as hardware and software failure. The fault probability increases in large scale WSNs which decreases the quality of service (QoS). To achieve a good QoS it is required to develop efficient fault detection technique. This paper propose a hardware fault diagnosis scheme that detect the heterogeneous hardware fault such as sensor unit fault, trans-receiver unit fault , micro- controller unit fault and battery failure. Self detection takes place for detecting faulty receiver unit, faulty battery unit and faulty sensor unit by using vague set based similarity measurement technique whereas, faulty microcontroller and transmitter unit fault is detected by neighbor nodes. Proposed algorithm performance is evaluated using Simulator and verified the experiment result with other existing algorithms in terms of different performance metrics.
机译:最近,无线传感器网络(WSNS)已成为各种应用中的关键技术。传感器节点容易出现多种类型的故障,如硬件和软件故障。大规模WSN的故障概率增加,这降低了服务质量(QoS)。为了实现良好的QoS,需要开发高效的故障检测技术。本文提出了一种硬件故障诊断方案,可检测异构硬件故障,如传感器单元故障,转换器单元故障,微控制器单元故障和电池故障。通过使用基于模糊的相似性测量技术来检测故障接收器单元,故障电池单元和故障传感器单元的故障接收器单元,故障电池单元和故障传感器单元的自我检测发生,而邻居节点检测有故障的微控制器和发射器单元故障。使用模拟器评估所提出的算法性能,并在不同的性能指标方面验证了其他现有算法的实验结果。

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