Energy Harvesting

Energy harvesting focuses on powering electronic devices, particularly low-power sensors and IoT devices, using ambient energy sources like Wi-Fi signals, light, or motion. Current research emphasizes efficient energy management strategies, often employing machine learning techniques such as reinforcement learning and deep neural networks (including variations like DDPG and CNNs) to optimize energy consumption and data transmission in diverse applications, from federated learning to UAV-assisted communication. This field is crucial for enabling truly sustainable and self-powered wireless networks and devices, impacting areas like environmental monitoring, healthcare, and smart cities.