Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 8
2401-2406

Fault detection algorithm based on time series similarity in WSN

Yang Yanchao
Ren Xiuli
College of Information, Liaoning University, Shenyang 110036, China
DOI: 10.19734/j.issn.1001-3695.2020.10.0409

Abstract

Aiming at the problem of low detection accuracy and high energy consumption caused by the high node failure rate in the wireless sensor network, this paper proposed a failure detection algorithm based on time series similarity(FDABTS2). The algorithm used the time series of nodes to calculate the difference and similarity, eliminated nodes with a certain failure type, and corrected the instantaneous reading failure data. When the node was a suspicious node, it used the spatial correlation to determine with the remaining neighbor nodes. In the simulation environment, compared with LEFD, NADST and tradition fault detection of algorithm DFD, the node detection accuracy was improved by 13%, 17% and 25%, and node false alarm rate was reduced by 8.4%, 21.4% and 25.4%, respectively. The network energy consumption was reduced by 2.9%, 8% and 21.3%, respectively. Even when the instantaneous reading node failure rate was as high as 60%, the false alarm rate could be reduced by 1.9%, 26.2% and 38.2%, respectively. Experimental results show that the algorithm can effectively reduce energy consumption and extend the network life cycle while ensuring high detection accuracy.

Foundation Support

辽宁省自然科学基金资助项目(201202089)
辽宁省教育厅项目(LYB201617)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.10.0409
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 8
Section: Algorithm Research & Explore
Pages: 2401-2406
Serial Number: 1001-3695(2021)08-028-2401-06

Publish History

[2021-08-05] Printed Article

Cite This Article

杨艳超, 任秀丽. 基于时间序列相似度的无线传感网故障检测算法 [J]. 计算机应用研究, 2021, 38 (8): 2401-2406. (Yang Yanchao, Ren Xiuli. Fault detection algorithm based on time series similarity in WSN [J]. Application Research of Computers, 2021, 38 (8): 2401-2406. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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