Sensor Node

Sensor nodes are miniature computing devices embedded in various environments to collect and process data, primarily aiming for efficient data acquisition and analysis while minimizing resource consumption. Current research emphasizes enhancing sensor node capabilities through advanced machine learning techniques, such as deep reinforcement learning for optimizing resource allocation (e.g., energy, communication) and deep neural networks for on-device data processing and anomaly detection. This work is significant for improving the reliability and security of diverse applications, including environmental monitoring, industrial automation, and healthcare, by enabling more robust and autonomous sensor networks.