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无线传感器网络中邻居数据分析的故障检测方法
  • 期刊名称：北京邮电大学学报2001年6月，第34卷第3期，EI
  • 时间：0
  • 分类：TP393[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构：[1]北京邮电大学网络与交换技术国家重点实验室,北京100876, [2]福建农林大学计算机与信息学院,福州350002
  • 相关基金：国家重点基础研究发展计划项目子课题（2007CB310703）;国家自然科学基金创新研究群体项目（60821001）;国家自然科学基金面上项目（60973108）
  • 相关项目：通信网的网络理论和技术
关键词： 无线传感器网络, 故障检测, 邻居节点, 可信水平, 故障容忍, wireless sensor network, fault detection, neighbor triodes, confidence level, fault tolerance
中文摘要：

针对无线传感器网络（WSN）故障检测导致额外的通信和计算负载问题，根据同一覆盖范围内传感器节点的监测数据相近的特点，提出了一种基于邻居节点数据分析的WSN故障检测方法．通过分析节点的历史传感数据来计算节点的可信水平，从而确定可信的邻居节点．将节点数据与覆盖范围内可信邻居节点的数据进行比较分析，判定节点是否故障．仿真结果表明，算法在保持良好的故障检测能力和临时故障容忍能力的同时，并不额外增加节点的通信和计算负载．

英文摘要：

In general, the fault detection in wireless sensor networks （WSNs） could be happened in additional communication and computation load. Considering the feature of WSNs that those nodes in the same coverage range have the close reading data, a neighbor-data analysis based fault detection schema is proposed. The confidence level of sensor nodes is taken by analyzing the history reading data in the first place. Comparing the node＇ s reading data with that of neighbor nodes results in good confidence level to determine that whether this node is failure or not. Simulations show that the proposed schema can catch a good performance in fault detection accuracy and transient fault tolerance, but do not bring any communication and computation overhead to sensor nodes.

同期刊论文项目
业务驱动的IT服务故障诊断与影响分析模型
期刊论文 34 会议论文 63 获奖 1 专利 8
通信网的网络理论和技术
期刊论文 332 会议论文 183 获奖 32 著作 5
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