| 一种无线传感器网络节点的故障检测算法 |
投稿时间：2019-06-16 修订日期：2019-07-09  点此下载全文 |
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| 中文摘要:针对无线传感器网络中的数据故障问题,本文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。仿真结果表明,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 |
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| A Node Fault Detection Algorithm for Wireless Sensor Networks |
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| Abstract:To solve the problem of data failure in wireless sensor networks, a new distributed Bayesian fault node detection algorithm (DBA) is proposed in this paper. 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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