Fault diagnosis for wireless sensor networks based on belief rule base with attributes computing

Due to the law and mechanism of wireless sensor networks, faults are complex and changeable. Wireless sensor network fault information contains many various types of uncertain information. Wireless sensor network fault diagnosis has attracted extensive attention in wireless sensors. Therefore, this paper suggests a fault diagnosis method based on a belief rule-based expert system. By analysing the sensor data characteristics of wireless sensor networks, the fault diagnosis of wireless sensor networks can be studied from time, space, and attribute. The antecedent attribute of the belief rule-based expert system can be constructed on this basis. Finally, a fault diagnosis model for wireless sensor networks based on belief rule base and attribute computation is proposed. An Intel Labs sensor dataset case validates the proposed model's effectiveness. The results reveal that the approach can diagnose wireless sensor network issues well.