Dataset for real-time anomaly detection for an ADMM-based optimal transmission frequency management system for IoT edge devices

The data collected from ADMM-based transmission frequency management system. The system consists of 3 edge devices and a gateway. The data includes key parameters of the system which is used for detecting the anomalies, which can lead to incorrect transmission frequencies. If the dataset is helpful,...

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Hauptverfasser: Wu, Hongde, O’Connor, Noel E., Bruton, Jennifer, Hall, Amy, Liu, Mingming
Format: Dataset
Sprache:eng
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Zusammenfassung:The data collected from ADMM-based transmission frequency management system. The system consists of 3 edge devices and a gateway. The data includes key parameters of the system which is used for detecting the anomalies, which can lead to incorrect transmission frequencies. If the dataset is helpful, please use and cite    Wu, H.; O’Connor, N.E.; Bruton, J.; Hall, A.; Liu, M. Real-Time Anomaly Detection for an ADMM-Based Optimal Transmission Frequency Management System for IoT Devices. Sensors 2022, 22, 5945. https://doi.org/10.3390/s22165945
DOI:10.6084/m9.figshare.20477022