Authors: Dheeraj S Pandey
Abstract: Energy harvesting embedded platforms have emerged as a sustainable solution for powering low-energy electronic devices, especially in IoT and remote sensing applications. These platforms utilize ambient energy sources such as solar, thermal, vibration, or radio frequency to replenish their energy reserves. However, energy availability from these sources is often unpredictable and intermittent, making efficient energy management critical. Smart scheduling techniques, which prioritize tasks based on energy availability, device importance, and system deadlines, play a vital role in optimizing performance while ensuring system longevity. This paper provides a comprehensive review of energy harvesting embedded platforms with a focus on smart scheduling strategies. It discusses recent advances in energy harvesting technologies, task scheduling algorithms, system architectures, and applications. Challenges and future research directions are also highlighted.
Keywords: Energy harvesting, Embedded platforms, Smart scheduling, IoT, Task optimization, Sustainable computing
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