Energy-Adaptive Buffering for Efficient, Responsive, and Persistent Batteryless Systems
Harrison Williams, Matthew Hicks
Abstract
Batteryless energy harvesting systems enable a wide array of new sensing, computation, and communication platforms untethered by power delivery or battery maintenance demands. Energy harvesters charge a buffer capacitor from an unreliable environmental source until enough energy is stored to guarantee a burst of operation despite changes in power input. Current platforms use a fixed-size buffer chosen at design time to meet constraints on charge time or application longevity, but static energy buffers are a poor fit for the highly volatile power sources found in real-world deployments: fixed buffers waste energy both as heat when they reach capacity during a power surplus and as leakage when they fail to charge the system during a power deficit.
To maximize batteryless system performance in the face of highly dynamic input power, we propose REACT : a responsive buffering circuit which varies total capacitance according to net input power. REACT uses a variable capacitor bank to expand capacitance to capture incoming energy during a power surplus and reconfigures internal capacitors to reclaim additional energy from each capacitor as power input falls. Compared to fixed-capacity systems, REACT captures more energy, maximizes usable energy, and efficiently decouples system voltage from stored charge-enabling low-power and high-performance designs previously limited by ambient power. Our evaluation on real-world platforms shows that REACT eliminates the tradeoff between responsiveness, efficiency, and longevity, increasing the energy available for useful work by an average 25.6% over static buffers optimized for reactivity and capacity, improving event responsiveness by an average 7.7𝑥 without sacrificing capacity, and enabling programmer directed longevity guarantees.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 1014ae33-60e0-4eff-be6f-8956fe6c8319Builds on6
- Reliable Timekeeping for Intermittent ComputingJasper de Winkel, Carlo Delle Donne, Kasim Sinan Yildirim, Przemyslaw Pawelczak et al.ASPLOS 2020 · 92 citations
- Battery-Free Game BoyJasper de Winkel, Vito Kortbeek, Josiah D. Hester, Przemyslaw PawelczakUbiComp 2020 · 89 citations
- Adaptive low-overhead scheduling for periodic and reactive intermittent executionKiwan Maeng, Brandon LuciaPLDI 2020 · 84 citations
- REHASH: A Flexible, Developer Focused, Heuristic Adaptation Platform for Intermittently Powered ComputingAbu Bakar, Alexander G. Ross, Kasim Sinan Yildirim, Josiah D. HesterUbiComp 2021 · 39 citations
- Forget Failure: Exploiting SRAM Data Remanence for Low-overhead Intermittent ComputationHarrison Williams, Xun Jian, Matthew HicksASPLOS 2020 · 27 citations
Related papers
- An Architectural Charge Management Interface for Energy-Harvesting SystemsEmily Ruppel, Milijana Surbatovich, Harsh Desai, Kiwan Maeng et al.MICRO 2022 · 26 citations
- HARC: A Heterogeneous Array of Redundant Persistent Clocks for Batteryless, Intermittently-Powered SystemsVishal Deep, Vishak Narayanan, Mathew L. Wymore, Daji Qiao et al.RTSS 2020 · 10 citations
- Rethinking Prefetching for Intermittent ComputingGan Fang, Jianping Zeng, Aditya Gupta, Changhee JungISCA 2025 · 5 citations
- Energy-aware Scheduling and Input Buffer Overflow Prevention for Energy-harvesting SystemsHarsh Desai, Xinye Wang, Brandon LuciaASPLOS 2025 · 2 citations
- Rethinking Dead Block Prediction for Intermittent ComputingGan Fang, Changhee JungHPCA 2025 · 6 citations
