REAP: Runtime Energy-Accuracy Optimization for Energy Harvesting IoT Devices
REAP: Runtime Energy-Accuracy Optimization for Energy Harvesting IoT Devices
复制标题
REAP：能量收集物联网设备的运行时能量精度优化
DOI：
10.1145/3316781.3317892
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Ogras, Umit Y.
中科院分区：
文献类型：
--
作者：
Bhat, Ganapati;Bagewadi, Kunal;Lee, Hyung Gyu;Ogras, Umit Y.
用于健康和活动监测的可穿戴和移动的设备的使用正在迅速增长。这些设备需要在电池和外形尺寸限制的严格能源预算下最大限度地提高其准确性和活动时间。本文考虑了在有限的能量预算上运行的能量收集设备，以在给定的时间内识别用户活动。我们提出了一种技术，利用多个设计点与不同的能量精度的权衡，以共同优化的准确性和活动时间。所提出的技术在运行时在这些设计点之间切换，以在严格的能量预算约束下最大化广义目标函数。我们评估我们的方法实验使用自定义硬件原型和14个用户研究。与最高性能设计点相比，它实现了46%的预期精度和66%的有效时间。
The use of wearable and mobile devices for health and activity monitoring is growing rapidly. These devices need to maximize their accuracy and active time under a tight energy budget imposed by battery and form-factor constraints. This paper considers energy harvesting devices that run on a limited energy budget to recognize user activities over a given period. We propose a technique to co-optimize the accuracy and active time by utilizing multiple design points with different energy-accuracy trade-offs. The proposed technique switches between these design points at runtime to maximize a generalized objective function under tight harvested energy budget constraints. We evaluate our approach experimentally using a custom hardware prototype and 14 user studies. It achieves 46% higher expected accuracy and 66% longer active time compared to the highest performance design point.
影响因子：
2
作者：
Bhat, Ganapati;Deb, Ranadeep;Ogras, Umit Y.
通讯作者：
Ogras, Umit Y.