Wake Up Radio

Wake-up radio research focuses on minimizing energy consumption in wireless devices by intelligently controlling when they are active, primarily targeting Internet of Things (IoT) devices and neuromorphic computing systems. Current efforts involve developing sophisticated duty cycling management strategies, often employing machine learning techniques like K-nearest neighbors and Long-Short Term Memory (LSTM) networks, to predict device activity and optimize wake-up schedules. This research is crucial for extending battery life in resource-constrained applications and enabling the widespread deployment of energy-efficient wireless networks and intelligent edge devices.