Optimizing Power Management in IoT Devices Using Machine Learning Techniques

Abstract

With the multiplication of IoT gadgets across different spaces, enhancing power the board has turned into a basic concern. These gadgets frequently work in asset compelled conditions where energy productivity is foremost. The use of machine learning to improve IoT devices' power management is the subject of this study. IoT devices can use machine learning algorithms to adapt their power consumption patterns based on contextual factors and user behavior, extending battery life and increasing system efficiency. Power management in IoT devices can be improved with the help of ML by reviewing previous research, highlighting obstacles, and offering potential solutions