[1]ZHU Hailong,GENG Wenqiang,HAN Jinsong,et al.Constructing a WSN node fault detection model using the belief rule base[J].CAAI Transactions on Intelligent Systems,2021,16(3):511-517.[doi:10.11992/tis.202009006]
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Constructing a WSN node fault detection model using the belief rule base

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 16 Number of periods: 2021 3 Page number: 511-517 Column: 学术论文—知识工程 Public date: 2021-05-05
Title:
Constructing a WSN node fault detection model using the belief rule base
Author(s):
ZHU Hailong1;  GENG Wenqiang1;  HAN Jinsong2;  ZHANG Guangling1;  FENG Zhichao3
1. School of Computer Science and Information Engineering, Harbin Normal University, Harbin 150025, China;
2. Department of Computer Science, Harbin Finance University, Harbin 150030, China;
3. Missile Engineeting College, Rocket Force University of Engineering, Xi’an 710025, China
Keywords:
wireless sensor network; fault detection; data uncertainty; expert knowledge ambiguity; time correlation; spatial correlation; belief rule base; Intel Lab Data dataset
CLC:
TP393
DOI:
10.11992/tis.202009006
Abstract:
The WSN node fault detection accuracy is affected by uncertain factors, including the uncertainty of node data and the ambiguity of expert knowledge. This paper proposes a WSN node fault detection method based on the belief rule base. First, the WSN node fault detection process is described according to the working principle of the WSN and the working characteristics of the node. Node data are extracted from two dimensions of space and time, and then the WSN node fault detection model is established based on space and time correlation. We use the Intel lab data wireless sensor data set to conduct a case study to verify the effectiveness of the model. The experimental results indicate that the method proposed in this paper can coordinate the use of expert knowledge and node data to realize the fault detection of WSN nodes.
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