摘要
提出一种基于趋势相关性的分布式故障检测算法（FDTS）.该算法通过比较无线传感器网络中待测节点与邻居节点的趋势差异和邻域中值差异得到检测结果.在此基础上,为避免因频繁检测所引发的过度能量消耗,基于三次指数平滑法设计了故障检测触发机制.仿真结果表明：算法中趋势相关性阈值与故障检出率和误检率呈正相关,中心一致性阈值与故障检出率和误检率呈负相关;所提算法面对四种常见故障类型均具有较好的检测精度.当网络中故障节点比例达到25%时,对于四种故障类型,至少可以检出75%的故障节点,而误警率低于20%.
A fault detection algorithm based on tendency-similarity（FDTS） was proposed.This algorithm could detect the faults in wireless sensor networks via the comparison of the nodes to be detected with its neighbours in terms of tendency-similarity and median-value.On this basis, aiming to avoid the excessive energy consumption caused by over-frequent fault detection, a trigger mechanism based on cubic exponential smoothing method was presented.The simulation results indicate that the tendency-correlation threshold is positively related to the detection rate and false positive rate while the centre-consistency threshold is negatively related to the detection rate and false positive rate.The excellent detection accuracy of FDTS was proved when facing four common fault types.When the proportion of the fault nodes achieves 25%, at least 75% of fault nodes can be recognized when facing the four fault types and the false positive rate is below 20%.
作者
符修文
杨勇生
姚海庆
Fu Xiuwen;Yang Yongsheng;Yao Haiqing(Institute of Logistics Science and Engineering,Shanghai Maritime University,Shanghai 201306,China)
出处
《华中科技大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2018年第10期98-104,共7页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
国家自然科学基金资助项目(61571336)
关键词
无线传感器网络
故障检测
邻域中值
趋势相关性
触发机制
wireless sensornetwork
fault detection
median value
tendency similarity
trigger mechanism
