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Leveraging Machine Learning for Accurate IoT Device Identification in Dynamic Wireless Contexts
Additionally, we reveal the critical impact of wireless channel dynamics on the accuracy of device identification based on device latency.
EAPS: Edge-Assisted Predictive Sleep Scheduling for 802.11 IoT Stations
Unfortunately, the main energy efficiency mechanisms of 802. 11, namely PSM and APSD, fall short when used in IoT applications.
Image Classification on IoT Edge Devices: Profiling and Modeling
In addition, in order to provide a means of predicting the energy consumption of an edge device performing image classification, we investigate the usage of three machine learning algorithms using the data generated from our experiments.
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