A fault diagnosis method for wireless sensor network nodes based on a belief rule base with adaptive attribute weights

A fault diagnosis method for wireless sensor network nodes based on a belief rule base with adaptive attribute weights

Abstract Due to the harsh operating environment and ultralong operating hours of wireless sensor networks (WSNs), node failures are inevitable. Ensuring the reliability of the data collected by the WSN necessitates the utmost importance of diagnosing faults in nodes within the WSN. Typically, the in...

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Bibliographic Details
Main Authors: Ke-Xin Shi, Shi-Ming Li, Guo-Wen Sun, Zhi-Chao Feng, Wei He
Format: Article
Language:English
Published: Nature Portfolio 2024-02-01
Series:Scientific Reports
Subjects:
Wireless sensor network
Fault diagnosis
Belief rule base
Adaptive attribute weights
Online Access:https://doi.org/10.1038/s41598-024-54589-6

Internet

https://doi.org/10.1038/s41598-024-54589-6

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