Artificial Intelligence System based Embedded Real-Time System Power Optimization and Adaptability
Nilamani Ganesan, T. Muthumanickam · 2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) · 2022
This research study focuses on finding solutions to the emerging challenges in the embedded systems' power consumption optimization. First, the challenges in physical CMOS power consumption are analyzed and further various real-time limitationsand load characteristics are explored. Further, various power consumption techniques are considered by including DMP, DVS/DFS, AVS, and ABB. Issues with organising a feedback and determining adaptability for various embedded systems are investigated.