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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 5

Data-driven WSN fault detection based framework

Xu Han1
Tong Yinghua1,2
1. Dept. of Computer, Qinghai Normal University, Xining 810008, China
2. The State Key Laboratory of Tibetan Intelligent Information Processing & Application, Qinghai Normal University, Xining 810008, China
DOI: 10.19734/j.issn.1001-3695.2024.10.0426

Abstract

Wireless sensor network nodes typically deploy in complex environments, where failures are inevitable. To address this challenge, a data-driven framework for real-time fault detection in WSNs gets developed. The system filters and collects initial operational data from wireless sensor networks, using this data to construct datasets for training fault detection models, with the goal of enhancing model accuracy. The approach segments the data into time windows, allowing the fault diagnosis model to identify and correct sensor faults within the most recent window. The model then reuses the refined dataset to retrain itself, preparing for the detection of faults in the upcoming window. Through continuous cycles of training and detection, the system ensures the real-time update of the detection model to improve its performance. Experimental results demonstrate that, when compared to classical and state-of-the-art machine learning detection models, this approach achieves better precision, accuracy, and efficiency across various types of fault datasets. Consequently, the framework offers superior detection capabilities and adapts more effectively to the dynamic nature of WSN environments.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.10.0426
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 5

Publish History

[2025-03-06] Accepted Paper

Cite This Article

许瀚, 童英华. 基于数据驱动的WSN故障检测框架 [J]. 计算机应用研究, 2025, 42 (5). (2025-03-06). https://doi.org/10.19734/j.issn.1001-3695.2024.10.0426. (Xu Han , Tong Yinghua . Data-driven WSN fault detection based framework [J]. Application Research of Computers, 2025, 42 (5). (2025-03-06). https://doi.org/10.19734/j.issn.1001-3695.2024.10.0426. )

About the Journal

  • 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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