Outlier Detection and Decision Tree for Wireless Sensor Network Fault Diagnosis

The traditional method of wireless sensor network fault diagnosis based on linear modeling rather than actually complicated and nod-linear relationship results in error data and leads to wrong decisions, therefore, this paper presents a sensor fault diagnosis method based on ARIMA and LSSVM integration control system which used to diagnosis sensor fault whose results are input LSSVM to fusion and get the final results of fault diagnosis. The simulation test results show that the proposed method improves the sensor node fault diagnosis accuracy, reduce the false negative rate and false positive rate.

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Kuiper test and autoregressive model-based approach for wireless sensor network fault diagnosis

Wireless Networks ◽

10.1007/s11276-014-0820-0 ◽

2014 ◽

Vol 21 (3) ◽

pp. 829-839 ◽

Cited By ~ 13

Author(s):

Xiaohang Jin ◽

Tommy W. S. Chow ◽

Yi Sun ◽

Jihong Shan ◽

Bill C. P. Lau

Keyword(s):

Wireless Sensor Network ◽

Fault Diagnosis ◽

Sensor Network ◽

Autoregressive Model ◽

Wireless Sensor ◽

Model Based ◽

Kuiper Test ◽

Network Fault

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Technology Research on the Fault Diagnosis of Wireless Sensor Network System

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.846-847.442 ◽

2013 ◽

Vol 846-847 ◽

pp. 442-445

Author(s):

Chun Lin He

Keyword(s):

Fault Diagnosis ◽

Sensor Network ◽

Simulation Experiment ◽

Temporal Correlation ◽

Sensor Nodes ◽

Wireless Sensor ◽

Network System ◽

Technology Research ◽

Spatio Temporal ◽

Network Fault

The fault diagnosis technology have emerged and developed rapidly with the development of wireless sensor networks and requirements of applications improve. This paper describes two commonly used sensor network fault modeling. What is more, in order to solve this problem that sensor nodes are vulnerable and therefore produce wrong data, the paper proposes a distributed fault detecting algorithm based on spatio-temporal correlation among data of adjacent nodes. The simulation experiment shows that the algorithm can efficiently detect errors in the network and very few errors are introduced.

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Research on WSNs Topology and Application of Lightning Monitoring in Distribution Lines

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.433-440.5573 ◽

2012 ◽

Vol 433-440 ◽

pp. 5573-5578

Author(s):

Tie Liu Wang ◽

Si Lei Shen ◽

Jun Jie Wang

Keyword(s):

Wireless Sensor Network ◽

Fault Diagnosis ◽

Sensor Network ◽

Health Monitoring ◽

Routing Protocol ◽

Power Efficiency ◽

Wireless Sensor ◽

Environmental Sampling ◽

Distribution Lines ◽

Distribution Line

Wireless Sensor Network (WSN) is used for such tasks as surveillance, widespread environmental sampling, security, and health monitoring widely. In this paper, a WSNs topology is proposed for lightning monitoring of distribution lines, which decides the number of nodes, routing protocol and power efficiency. The WSNs is deployed along the distribution line with nodes mounted on tall towers, which is used to monitor the lightning activities and accomplish fault diagnosis. At last, a monitoring system based on WSN is fabricated.

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