储藏室:间歇式传感器的灵活储能技术

IF 2.8 3区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE ACM Transactions on Embedded Computing Systems Pub Date : 2024-01-19 DOI:10.1145/3641511
Arwa Alsubhi, Simeon Babatunde, Nicole Tobias, Jacob Sorber
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引用次数: 0

摘要

无电池传感器为传感技术带来了可持续发展的未来,但它们在存储和使用环境能源时面临着巨大挑战。输入的能量会在稀缺期和充裕期之间不可预测地波动,而设备的性能取决于输入的能量和设备可存储的能量。现有的无电池设备使用固定或运行时间可选的前端电容器组来满足不同任务的能源需求。这两种方法都不能很好地适应瞬息万变的能量采集条件,也不能让设备在能量充沛时储存多余的能量而不影响性能。本文介绍了一种硬件后端储能技术--Stash,它允许无电池设备在能量充足时快速充电并存储多余能量,从而延长设备的工作时间,并在不影响主要任务的情况下执行额外任务。当小型电容器性能出众时,Stash 的表现就像小型电容器设备;当大型电容器性能出众时,Stash 的表现就像大型电容器设备,而且不增加软件复杂性,功耗也可忽略不计。我们利用两个应用--温度传感和可穿戴活动监测--在合成太阳能和来自各种人类活动的太阳能和热能记录下对 Stash 进行了评估。我们的结果表明,与使用固定的小型、大型和可重新配置的前端储能器的竞争对手配置相比,Stash 在可变的能量收集条件下将传感器覆盖率提高了 15%。
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Stash: Flexible Energy Storage for Intermittent Sensors

Batteryless sensors promise a sustainable future for sensing, but they face significant challenges when storing and using environmental energy. Incoming energy can fluctuate unpredictably between periods of scarcity and abundance, and device performance depends on both incoming energy and how much a device can store. Existing batteryless devices have used fixed or run-time selectable front-end capacitor banks to meet the energy needs of different tasks. Neither approach adapts well to rapidly changing energy harvesting conditions, nor does it allow devices to store excess energy during times of abundance without sacrificing performance.

This paper presents Stash, a hardware back-end energy storage technique that allows batteryless devices to charge quickly and store excess energy when it is abundant, extending their operating time and carrying out additional tasks without compromising the main ones. Stash performs like a small capacitor device when small capacitors excel and like a large capacitor device when large capacitors excel, with no additional software complexity and negligible power overhead. We evaluate Stash using two applications—temperature sensing and wearable activity monitoring—under both synthetic solar energy and recorded solar and thermal traces from various human activities. Our results show that Stash increased sensor coverage by up to 15% under variable energy-harvesting conditions when compared to competitor configurations that used fixed small, large, and reconfigurable front-end energy storage.

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来源期刊
ACM Transactions on Embedded Computing Systems
ACM Transactions on Embedded Computing Systems 工程技术-计算机:软件工程
CiteScore
3.70
自引率
0.00%
发文量
138
审稿时长
6 months
期刊介绍: The design of embedded computing systems, both the software and hardware, increasingly relies on sophisticated algorithms, analytical models, and methodologies. ACM Transactions on Embedded Computing Systems (TECS) aims to present the leading work relating to the analysis, design, behavior, and experience with embedded computing systems.
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