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Letter

Voltage-Frequency Domain Optimization for Energy-Neutral Wearable Health Devices

1
Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA
2
School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA 99164, USA
3
School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85287, USA
4
School of Computer and Communication Engineering, Daegu University, Gyeongsan 38453, Korea
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(18), 5255; https://doi.org/10.3390/s20185255
Received: 17 July 2020 / Revised: 24 August 2020 / Accepted: 1 September 2020 / Published: 14 September 2020
(This article belongs to the Special Issue Low-Power Sensors and Systems for IoT)
Wearable health and activity monitoring devices must minimize the battery charging and replacement requirements to be practical. Numerous design techniques, such as power gating and multiple voltage-frequency (VF) domains, can be used to optimize power consumption. However, circuit-level techniques alone cannot minimize energy consumption unless they exploit domain-specific knowledge. To this end, we propose a system-level framework that minimizes the energy consumption of wearable health and activity monitoring applications by combining domain-specific knowledge with low-power design techniques. The proposed technique finds the energy-optimal VF domain partitioning and the corresponding VF assignments to each partition. We evaluate this framework with experiments on two activity monitoring and one electrocardiogram applications. Our approach decreases the energy consumption by 33–58% when compared to baseline designs. It also achieves 20–46% more savings compared to a state-of-the-art approach. View Full-Text
Keywords: voltage-frequency domains; optimization; wearable devices; low-power design; energy consumption voltage-frequency domains; optimization; wearable devices; low-power design; energy consumption
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MDPI and ACS Style

Tuncel, Y.; An, S.; Bhat, G.; Raja, N.; Lee, H.G.; Ogras, U. Voltage-Frequency Domain Optimization for Energy-Neutral Wearable Health Devices. Sensors 2020, 20, 5255. https://doi.org/10.3390/s20185255

AMA Style

Tuncel Y, An S, Bhat G, Raja N, Lee HG, Ogras U. Voltage-Frequency Domain Optimization for Energy-Neutral Wearable Health Devices. Sensors. 2020; 20(18):5255. https://doi.org/10.3390/s20185255

Chicago/Turabian Style

Tuncel, Yigit, Sizhe An, Ganapati Bhat, Naga Raja, Hyung G. Lee, and Umit Ogras. 2020. "Voltage-Frequency Domain Optimization for Energy-Neutral Wearable Health Devices" Sensors 20, no. 18: 5255. https://doi.org/10.3390/s20185255

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