一种无线传感器网络节点的故障检测算法
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引用本文:宁丰力1,梁国祥1,王志彬2.一种无线传感器网络节点的故障检测算法[J].计算技术与自动化,2020,(2):32-37
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作者单位
宁丰力1,梁国祥1,王志彬2 (1. 中山市小榄人民医院广东 中山5284152. 中山大学 数据科学与计算机学院广东 中山 528415) 
中文摘要:针对无线传感器网络中的数据故障问题,提出了一种新的分布式贝叶斯故障节点检测算法(DBA)。通过引入Bayesian来计算传感器节点的故障概率,利用边界节点来调整故障概率,提高故障概率的准确性,避免了大量故障节点的负面影响。最后将DBA和分布式故障检测(DFD)的性能进行了综合仿真比较。结果表明,即使在故障节点较多的情况下,DBA也能显著提高故障检测的精度。
中文关键词:无线传感器网络  数据故障检测  边界节点  贝叶斯检测
 
A Node Fault Detection Algorithm for Wireless Sensor Networks
Abstract:To solve the problem of data failure in wireless sensor networks,a new distributed Bayesian fault node detection algorithm (DBA) is proposed. By introducing Bayesian network to calculate the fault probability of sensor nodes,and using boundary nodes to adjust the fault probability,the accuracy of the fault probability is improved,and the negative impact of a large number of fault nodes is avoided. Finally,the performance of DBA and distributed fault detection (DFD) is compared by comprehensive simulation. The simulation results show that DBA can significantly improve the accuracy of fault detection even when there are many fault nodes.
keywords:wireless sensor networks  data fault detection  boundary nodes  Bayesian detection
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