Chen-Tui Hung
ABSTRACT
Battery-less devices offer potential solutions for maintaining sustainable IoT networks. However, limited energy harvesting capacity can result in power failures that limit system quality of service. To maximize energy efficiency while meeting the timely requirement of intermittent systems, we propose a response time prediction for tasks in battery-less devices, considering both delays from multiple task interference and insufficient system energy, and then present a dynamic wake-up strategy to improve timely task progress. The proposed algorithms are implemented in a lightweight operating system on real devices.
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Index Terms
- EASTA: energy-aware scheduling for timely applications on intermittent systems
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