Wireless Sensor Network Fault Diagnosis Method of Optimization Research and Simulation

Author:

Li Qiang1

Affiliation:

1. Zibo Vocational Institute

Abstract

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.

Publisher

Trans Tech Publications, Ltd.

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Wireless Sensor Networks Designs and Protocols: A Survey;2022 8th International Conference on Contemporary Information Technology and Mathematics (ICCITM);2022-08-31

2. A Method to Optimize the PTN Ring Formation Rate by Calculating the Accounting Income of Network Elements;2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS);2021-09-22

3. A new health prediction model for a sensor network based on belief rule base with attribute reliability;Scientific Reports;2021-02-02

4. On the Localization Algorithm of Wireless Sensor Network and Its Application;International Journal of Online Engineering (iJOE);2017-03-28

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