基于时空协作的无线传感网节点故障检测算法
首发时间:2018-01-12
摘要:为了克服无线传感器网络中故障节点产生并传递的错误信息对WSNs服务质量的不利影响,利用节点数据时空相关性建立了可靠邻居筛选模型及节点感知数据稳定性评估模型。针对现有的依赖时间或空间相关性的故障检测算法中对邻节点数据或邻节点本身可靠性的忽略,建立了一种基于历史数据及可靠邻居协作的两步故障检测算法NFDST。实验结果表明,该算法能在实现高检测精度的同时将虚警率控制在较低水平,且算法具有较强的容错能力。
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A node faulty detection algorithm based on spatial-temporal collaboration in wireless sensor networks
Abstract:In order to overcome the adverse effect of the faulty information generated and delivered by faulty nodes in Wireless Sensor Networks (WSNs) on the QoS of WSNs, a reliable neighbor screening model and data stability assessment model are established based on spatial-temporal correlation of node sensed data. Aiming at the neglect of the data of neighbor nodes or the reliability of neighboring nodes themselves, a two-step fault detection algorithm NFDST based on historical data and the cooperation of reliable neighbors is proposed. The experimental results show that the al-gorithm can achieve higher correct detection accuracy while controlling the false alarm rate at a low level, and has a strong fault tolerant ability.
Keywords: Wireless Sensor Networks faulty detection spatial-temporal correlation
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基于时空协作的无线传感网节点故障检测算法
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