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ATHOME: Automatic Tunable Wireless Charging for Smart Home

Authors:

Cong LiuAuthors Info & Claims

IoTDI '17: Proceedings of the Second International Conference on Internet-of-Things Design and Implementation

Pages 133 - 143

https://doi.org/10.1145/3054977.3054990

Published: 18 April 2017 Publication History

Abstract

We present ATHOME, an Automatic Tunable wireless charging framework for smart low-power devices in current and future HOME. ATHOME automatically tunes the charging power of multiple stationary wireless chargers to provide enough energy that can continuously power up smart devices with varying working power profiles, while minimizing the total charging power to reduce energy cost. To reach this goal, ATHOME first solves a hard open problem of calculating the minimum required charging power for powering up a device with limited energy storage size and varying power profile. Based on the minimum charging power obtained for each device, ATHOME then provides an optimal solution with polynomial-time complexity that automatically tunes the charging power of all chargers in a real-time fashion, which enables all devices to work continuously while minimizing total charging power. We implement ATHOME on a WISP platform with 8 rechargeable nodes. Experiments demonstrate that ATHOME provides sufficient and tight charging power that enables devices to work continuously.

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Cited By

Lu SYao YLuo BYu ZLi DShi W(2022)EdgeWare: toward extensible and flexible middleware for connected vehicle servicesCCF Transactions on High Performance Computing10.1007/s42514-022-00100-44:3(339-356)Online publication date: 9-May-2022
https://doi.org/10.1007/s42514-022-00100-4
Yang JJiang YXu ZChen W(2021)Charging scheduling strategy for linear wireless power transfer network with external power injectionInternational Journal of Circuit Theory and Applications10.1002/cta.306949:11(3826-3844)Online publication date: 9-Jun-2021
https://doi.org/10.1002/cta.3069
Ye YPeng CWang YChen JLiao JMa TLiang YZhou M(2019)Wireless Power Transmission System via Magnetic Resonance Coupling Platform2019 IEEE International Conference on Mechatronics and Automation (ICMA)10.1109/ICMA.2019.8816391(1-6)Online publication date: Aug-2019
https://doi.org/10.1109/ICMA.2019.8816391
Show More Cited By

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cover image ACM Conferences

IoTDI '17: Proceedings of the Second International Conference on Internet-of-Things Design and Implementation

April 2017

353 pages

ISBN:9781450349666

DOI:10.1145/3054977

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 18 April 2017

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National Science Foundation

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IoTDI '17

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SIGBED

IoTDI '17: International Conference on Internet-of-Things Design and Implementation

April 18 - 21, 2017

PA, Pittsburgh, USA

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Cited By

Lu SYao YLuo BYu ZLi DShi W(2022)EdgeWare: toward extensible and flexible middleware for connected vehicle servicesCCF Transactions on High Performance Computing10.1007/s42514-022-00100-44:3(339-356)Online publication date: 9-May-2022
https://doi.org/10.1007/s42514-022-00100-4
Yang JJiang YXu ZChen W(2021)Charging scheduling strategy for linear wireless power transfer network with external power injectionInternational Journal of Circuit Theory and Applications10.1002/cta.306949:11(3826-3844)Online publication date: 9-Jun-2021
https://doi.org/10.1002/cta.3069
Ye YPeng CWang YChen JLiao JMa TLiang YZhou M(2019)Wireless Power Transmission System via Magnetic Resonance Coupling Platform2019 IEEE International Conference on Mechatronics and Automation (ICMA)10.1109/ICMA.2019.8816391(1-6)Online publication date: Aug-2019
https://doi.org/10.1109/ICMA.2019.8816391
Dong ZLiu YZhou HXiao XGu YZhang LLiu CZhang JChiang MMaggs B(2017)An energy-efficient offloading framework with predictable temporal correctnessProceedings of the Second ACM/IEEE Symposium on Edge Computing10.1145/3132211.3134448(1-12)Online publication date: 12-Oct-2017
https://dl.acm.org/doi/10.1145/3132211.3134448

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