The gateway anomaly detection and diagnosis in WSNs

The gateway plays the essential role in wireless sensor networks, which is critical component in terms of sending and receiving data. The abnormal of gateway will have a great influence on data transmission and reduce the stability and reliability of network. The research described in the paper origins from equipment monitoring system based on the wireless sensor network system, which is deployed at Cold Rolling and Continuous Annealing line (CRCAL) in steel enterprises. The communication data of gateway state were analyzed with statistic method in cluster using the diagnosis node. Combining with the theory of multivariate statistical process control (MSPC), we propose a method of gateway anomaly detection based on Principal Component Analysis (PCA). Finally, the method is proved to be reliable and effective based on the actual data from field monitoring network system.

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