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

机译:基于信任的无线传感器网络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:故障检测是WSN中的困难且复杂的任务,因为有许多影响数据的因素可能导致故障。大规模传感器网络施加能量和通信约束,因此难以从每个单独的传感器节点收集数据并在接收器处处理以检测故障传感器。所提出的方法通过在簇头中检测本地的数据故障来节省能量并改善网络生命周期,从而减少将相关信息传送到水槽所需的传输次数。本文介绍了一种用于检测以分布式方式产生故障数据的传感器的新方法,以及使用信任概念识别数据故障类型,以获得高度的置信度。我们使用模拟结果验证了我们的方法。

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