Harvesting-aware adaptive energy management in solar-powered embedded systems

Abstract

Solar-powered embedded systems are challenged by variations and uncertainties in energy availability due to seasonal changes and weather conditions. Such systems need to deploy various schemes to adapt their energy consumption in order to achieve energy sustainability. We target solar-powered real-time systems with adaptive QoS model. A holistic middleware framework for energy management that orchestrates DVFS and application QoS in solar-powered real-time systems is proposed. Extensive experiments are carried out to show the effectiveness and the robustness of our technique on two case studies on a solar-powered smart camera system. Simulation results show an improvement of 19%-50% in terms of total QoS compared to a DVFS framework with fixed QoS model for real time embedded systems.

Energy management for solar-powered IoT devices with performance adjustment

“…The QoS levels the system supports should be determined off-line using the solar energy prediction data due to the high complexity of their algorithm. Based on the QuARES framework, a power management for a camera sensor network by utilizing hybrid power sources, super-capacitor and Li-ion battery, has been presented [6]. They focused on sustainability in energy supply to solar-powered embedded system.…”