@inproceedings{5afaf3ffd49b40fcb811ea0f0b0f7fac,
title = "REAP: Runtime energy-accuracy optimization for energy harvesting IoT devices",
abstract = "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.",
author = "Ganapati Bhat and Kunal Bagewadi and Lee, {Hyung Gyu} and Ogras, {Umit Y.}",
note = "Funding Information: This work was supported in part by NSF CAREER award CNS-1651624, DARPA Young Faculty Award (YFA) Grant D14AP00068, and National Research Foundation of Korea Grant NRF-2017R1D1A1B03032382. Funding Information: Acknowledgment: This work was supported in part by NSF CAREER award CNS-1651624, DARPA Young Faculty Award (YFA) Grant D14AP00068, and National Research Foundation of Korea Grant NRF-2017R1D1A1B03032382. Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.; 56th Annual Design Automation Conference, DAC 2019 ; Conference date: 02-06-2019 Through 06-06-2019",
year = "2019",
month = jun,
day = "2",
doi = "10.1145/3316781.3317892",
language = "English (US)",
series = "Proceedings - Design Automation Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings of the 56th Annual Design Automation Conference 2019, DAC 2019",
}