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首页> 外文期刊>International Journal of Distributed Sensor Networks >A Novel Method for Node Fault Detection Based on Clustering in Industrial Wireless Sensor Networks
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A Novel Method for Node Fault Detection Based on Clustering in Industrial Wireless Sensor Networks

机译:工业无线传感器网络中基于聚类的节点故障检测新方法

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Fault detection is a method of crucial importance to guarantee Quality of Service (QoS) in industrial wireless sensor network (IWSN). Timely and accurate detection for fault nodes can increase the robustness of IWSN. Therefore, in order to reduce the network detection load and improve the system scalability, a cluster-based fault detection (CFD) algorithm is proposed. In this algorithm, the IWSN is clustered based on Low Energy Adaptive Clustering Hierarchy (LEACH) protocol at the beginning, and then the reliability of all cluster head nodes is verified. In each cluster, the cluster head is responsible for fault detection in it. In addition, the introduction of node credibility mechanism enables CFD algorithm to tolerate transient faults. Simulation results demonstrate that CFD algorithm has better performancesin terms of network energy consumption and detection accuracy.
机译:故障检测是保证工业无线传感器网络(IWSN)中服务质量(QoS)至关重要的方法。及时,准确地检测故障节点可以提高IWSN的鲁棒性。因此,为了减轻网络检测的负担并提高系统的可扩展性,提出了一种基于集群的故障检测算法。该算法从一开始就基于低能耗自适应聚类层次结构(LEACH)协议对IWSN进行聚类,然后验证了所有聚簇头节点的可靠性。在每个群集中,群集头负责其中的故障检测。此外,节点可信度机制的引入使CFD算法能够容忍瞬态故障。仿真结果表明,CFD算法在网络能耗和检测精度方面具有较好的性能。

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