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A trust-based distributed data fault detection algorithm for wireless sensor networks

机译:无线传感器网络中基于信任的分布式数据故障检测算法

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Fault detection is a difficult and complex task in WSN because of there are many factors that influence data and could cause faults. Large-scale sensor networks impose energy and communication constraints, thus it is difficult to collect data from each individual sensor node and process it at the sink to detect faulty sensors. The proposed approach saves energy and improves network lifetime by detecting data faults locally in cluster head and therefore reducing the number of transmissions required to convey relevant information to the sink. This paper presents a novel approach for detecting sensors which produce faulty data in a distributed way as well as identifying the type of data faults using trust concepts to gain a high degree of confidence. We validate our method with simulations results.
机译:在WSN中,故障检测是一项艰巨而复杂的任务,因为有许多因素会影响数据并可能导致故障。大型传感器网络强加了能量和通信限制,因此很难从每个传感器节点收集数据并在接收器处对其进行处理以检测故障传感器。所提出的方法通过在群集头中本地检测数据故障来节省能源并延长网络寿命,因此减少了将相关信息传送到接收器所需的传输次数。本文提出了一种新颖的方法,用于检测以分布式方式产生故障数据的传感器,并使用信任概念来识别数据故障的类型,从而获得较高的置信度。我们用仿真结果验证了我们的方法。

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