基于可信度和邻居协作的传感器故障检测算法
Sensor fault detection algorithm based on credibility and neighbor-cooperation
- 通信学报 2016年37卷第9期 页码：183-190
- 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. 河北省电力公司，河北 石家庄 050022
- 作者简介：
[ "蔺艳斐（1992-），女，山东莱芜人，北京邮电大学硕士生，主要研究方向为智能电网、网络与业务管理。" ]
[ "邵苏杰（1985-），男，陕西汉中人，北京邮电大学博士生，主要研究方向为研究方向为网络管理与智能电网。" ]
[ "钟成（1970-），男，河北石家庄人，河北省电力公司高级工程师，主要研究方向为光缆、终端接入网。" ]
[ "郭少勇（1985-），男，河北邢台人，北京邮电大学博士后，主要研究方向为网络管理、终端管理与智能电网。" ]
[ "邱雪松（1973-），男，江西上饶人，北京邮电大学教授、博士生导师，主要研究方向为网络与业务管理。" ]
- 基金信息：国家电网科技项目基金资助项目(SGIT0000KJJS1500008)
DOI：10.11959/j.issn.1000-436x.2016170
中图分类号： TP393-
网络首发：2016-09，
纸质出版：2016-09-25
- 稿件说明：
移动端阅览
蔺艳斐, 邵苏杰, 钟成, 等. 基于可信度和邻居协作的传感器故障检测算法[J]. 通信学报, 2016,37(9):183-190.
Yan-fei LIN, Su-jie SHAO, Cheng ZHONG, et al. Sensor fault detection algorithm based on credibility and neighbor-cooperation[J]. Journal on Communications, 2016, 37(9): 183-190.
蔺艳斐, 邵苏杰, 钟成, 等. 基于可信度和邻居协作的传感器故障检测算法[J]. 通信学报, 2016,37(9):183-190. DOI： 10.11959/j.issn.1000-436x.2016170.
Yan-fei LIN, Su-jie SHAO, Cheng ZHONG, et al. Sensor fault detection algorithm based on credibility and neighbor-cooperation[J]. Journal on Communications, 2016, 37(9): 183-190. DOI： 10.11959/j.issn.1000-436x.2016170.
摘要
通过可疑节点与邻居节点的历史数据比较，判断节点是否故障是传感器故障检测的有效方法之一。该方法的关键点在于可疑节点的判断问题以及故障诊断消息发送时机的决策问题。为此，提出一种基于可信度和邻居协作的传感器故障检测算法。首先建立可信度模型进行节点可疑状态判定；随后基于邻居协作的思想向邻居节点发送故障诊断请求，通过等概率时间窗口决定该可疑节点诊断请求的发送时机；最后依据邻居节点的诊断回复进行故障情况的分类以及状态判断。通过仿真验证，该算法能够在降低故障诊断次数和数据拥塞率的前提下，提高故障检出率。
Abstract
To effectively detect whether a node was failure
one of the effective sensor fault detection methods was to compare historical data of suspicious node with its neighbors.The key points of this method were identification of suspicious nodes
as well as decision problem of sending timing for fault diagnosis messages.To this end
a sensor fault detection algorithm was presented based on credibility and neighbor-cooperation.Firstly
a credibility model to determine whether nodes are suspicious was established.Then suspicious nodes send fault diagnosis requests to neighbor nodes based on neighbor-cooperation.The sending timing was determined by equal probability time window.Finally
it could finish classification of fault condition and state judgment based on diagnosis responds of neighbor nodes.Simulation experiments show that this algorithm can achieve higher fault detection rate with less fault diagnosis times and low data congestion probability.
关键词
Keywords
references
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