Research on WSNs fault detection method based on node similarity

CHEN Huan-huan; HUANG Jian; WANG Kai; LI Hong-bing

doi:10.13873/j.1000-97872014.04.019

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Research on WSNs fault detection method based on node similarity

更新时间：2025-09-11

- Research on WSNs fault detection method based on node similarity
- Vol. 33, Issue 4, Pages: 10-13(2014)
- 作者机构：
  
  重庆大学自动化学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872014.04.019
  CLC： TN929.5;TP212.9
- Published：2014
- 稿件说明：
移动端阅览
[1]陈欢欢,黄剑,王楷,李洪兵.基于节点相似性的WSNs故障检测方法研究[J].传感器与微系统,2014,33(04):10-13.

CHEN Huan-huan, HUANG Jian, WANG Kai, et al. Research on WSNs fault detection method based on node similarity[J]. 2014, 33(4): 10-13.
[1]陈欢欢,黄剑,王楷,李洪兵.基于节点相似性的WSNs故障检测方法研究[J].传感器与微系统,2014,33(04):10-13. DOI： 10.13873/j.1000-97872014.04.019.

CHEN Huan-huan, HUANG Jian, WANG Kai, et al. Research on WSNs fault detection method based on node similarity[J]. 2014, 33(4): 10-13. DOI： 10.13873/j.1000-97872014.04.019.

摘要

针对目前多数无线传感器网络分布式故障检测的算法都以假设故障节点数据为离群值为基础

存在局限性的问题。提出一种基于节点相似度比较的无线传感器网络故障检测方法

簇头节点根据簇内节点数据的时空相关性

进行节点相似性度量

实时调整节点可信水平

并采用最优函数计算出当前实验的最优阈值（0.8）进行故障节点的判断。通过仿真实验证明:针对不同的故障模型

算法保持了良好的故障检测能力

一定程度上解决通用性问题。

Abstract

Aiming at present distributed fault detection algorithms for wireless sensor networks（ WSNs） have assume that the fault node are based on outliers data

it have limitations. Present a method based on similarity comparison of nodes of WSNs fault detection

according to correlation of time and space of node data within the cluster

the cluster head nodes measure the similarity among cluster nodes

and adjust node confidence level realtime

calculate the optimal threshold value which is 0. 8 by using optimal function in current experiments to judge fault node. Through simulation experiments show that aiming at different fault model

the algorithm keep in good ability of fault detection

and solve the problem of generality in a certain extent.

关键词

Keywords

references

节点信誉相关的无线传感器网络故障检测 [J]. 熊翱,赵晓东,高志鹏,黄日茂,郭全. 北京邮电大学学报 . 2012(01)

无线传感器网络中邻居数据分析的故障检测方法 [J]. 黄日茂,邱雪松,高志鹏,乔焰. 北京邮电大学学报 . 2011(03)

Distributed online outlier detection in wireless sensor networks using ellipsoidal support vector machine [J] . Yang Zhang,Nirvana Meratnia,Paul J.M. Havinga. Ad Hoc Networks . 2012

Sensor network data fault types [J] . Kevin Ni,Nithya Ramanathan,Mohamed Nabil Hajj Chehade,Laura Balzano,Sheela Nair,Sadaf Zahedi,Eddie Kohler,Greg Pottie,Mark Hansen,Mani Srivastava. ACM Transactions on Sensor Networks （TOSN） . 2009 (3)

Fault detection of wireless sensor networks [J] . Myeong-Hyeon Lee,Yoon-Hwa Choi. Computer Communications . 2008 (14)

Measuring quality of similarity functions in approximate data matching [J] . Roberto da Silva,Raquel Stasiu,Viviane Moreira Orengo,Carlos A. Heuser. Journal of Informetrics . 2006 (1)

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