research-article

WATTR: a method for self-powered wireless sensing of water activity in the home

Authors:

Shwetak N. PatelAuthors Info & Claims

UbiComp '10: Proceedings of the 12th ACM international conference on Ubiquitous computing

Pages 169 - 172

https://doi.org/10.1145/1864349.1864378

Published: 26 September 2010 Publication History

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Abstract

We present WATTR, a novel self-powered water activity sensor that utilizes residential water pressure impulses as both a powering and sensing source. Consisting of a power harvesting circuit, piezoelectric sensor, ultra-low-power 16-bit microcontroller, 16-bit analog-to-digital converter (ADC), and a 433 MHz wireless transmitter, WATTR is capable of sampling home water pressure at 33 Hz and transmitting over 3 m when any water fixture in the home is opened or closed. WATTR provides an alternative sensing solution to the power intensive Bluetooth-based sensor used in the HydroSense project by Froehlich et al. [2] for single-point whole-home water usage. We demonstrate WATTR as a viable self-powered sensor capable of monitoring and transmitting water usage data without the use of a battery. Unlike other water-based power harvesters, WATTR does not waste water to power itself. We discuss the design, implementation, and experimental verification of the WATTR device.

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Cited By

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Bailey GSeunarine KBaptista De Lima CCarnie MHaymoor ZHyde MJones BJones MPearson JReitmaier TRobinson SSahoo DWilliams A(2024)Older Generation: Self-Powered IoTs, Home-Life and “Ageing Well”Proceedings of the 13th Nordic Conference on Human-Computer Interaction10.1145/3679318.3685410(1-14)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3679318.3685410
Arabi AWang XZhang YKim J(2023)E3DProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36108977:3(1-31)Online publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1145/3610897
Mamish JGuo ACohen TRichey JZhang YHester J(2023)Interaction HarvestingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36108807:3(1-31)Online publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1145/3610880
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Index Terms

WATTR: a method for self-powered wireless sensing of water activity in the home
1. Human-centered computing

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Published In

UbiComp '10: Proceedings of the 12th ACM international conference on Ubiquitous computing

September 2010

366 pages

ISBN:9781605588438

DOI:10.1145/1864349

General Chairs:
Jakob E. Bardram
IT University of Copenhagen, Denmark
,
Marc Langheinrich
University of Lugano, Switzerland
,
Program Chairs:
Khai N. Truong
University of Toronto, Canada
,
Paddy Nixon
University College Dublin, Ireland

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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University of Florida: University of Florida

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 September 2010

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Ubicomp '10

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Ubicomp '10: The 2010 ACM Conference on Ubiquitous Computing

September 26 - 29, 2010

Copenhagen, Denmark

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UbiComp '10 Paper Acceptance Rate 39 of 202 submissions, 19%;

Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

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Bailey GSeunarine KBaptista De Lima CCarnie MHaymoor ZHyde MJones BJones MPearson JReitmaier TRobinson SSahoo DWilliams A(2024)Older Generation: Self-Powered IoTs, Home-Life and “Ageing Well”Proceedings of the 13th Nordic Conference on Human-Computer Interaction10.1145/3679318.3685410(1-14)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3679318.3685410
Arabi AWang XZhang YKim J(2023)E3DProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36108977:3(1-31)Online publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1145/3610897
Mamish JGuo ACohen TRichey JZhang YHester J(2023)Interaction HarvestingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36108807:3(1-31)Online publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1145/3610880
Yang XSayono JXu JLi JHester JZhang Y(2022)MiniKersProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35502876:3(1-22)Online publication date: 7-Sep-2022
https://dl.acm.org/doi/10.1145/3550287
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Tang YXuan WZhang CXu LLiu FChen JJin HYe ZCao ZLi YLuo J(2021)Fully self-powered instantaneous wireless traffic monitoring system based on triboelectric nanogenerator and magnetic resonance couplingNano Energy10.1016/j.nanoen.2021.10642989(106429)Online publication date: Nov-2021
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