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Enabling L3: low cost, low complexity and low power radio frequency sensing using tunnel diodes

Published: 14 October 2022 Publication History

Abstract

The past decade has seen a great interest in developing radio frequency sensing technology and its applications. At a basic level, these systems operate by tracking changes in the wireless signal reflected from a physical object. These reflections contain a wealth of information about the object, such as its motion and material. However, existing radio frequency sensing solutions are constrained by the complexity of the deployment and their high power consumption. This is because these systems extract weak reflections in presence of a strong incident signal. This paper introduces a new radio frequency sensing modality that allows tracking of the incident signal and not reflections from the object. This allows us to simplify the receiver and algorithm design significantly. We design the system using tunnel diode oscillators to generate a high-frequency carrier signal at only tens of microwatts of power consumption. The critical contribution that we make is to show that the frequency of the tunnel diode oscillator is sensitive to the physical environment. As an example, we demonstrate that performing simple hand gestures near the tunnel diode oscillator causes notable changes to its frequency. Thus, the receiver tracks the frequency of the carrier signal generated by the tunnel diode oscillator, and not reflections from physical objects. It enables inferring of sensing information using a commodity receiver costing only a few USD. Our system enables radio frequency sensing at low cost, complexity and power.

References

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Fadel Adib et al. 2014. 3D tracking via body radio reflections. In NSDI '14. USENIX.
[2]
Fadel Adib et al. 2015. Smart homes that monitor breathing and heart rate. In CHI '15. ACM.
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Jian Ding et al. 2019. Towards low cost soil sensing using Wi-Fi. In MobiCom '19. ACM.
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Qifan Pu et al. 2013. Whole-home gesture recognition using wireless signals. In MobiCom '13. ACM.
[5]
Ambuj Varshney et al. 2019. Tunnelscatter: Low power communication for sensor tags using tunnel diodes. In MobiCom '19. ACM.
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Ambuj Varshney et al. 2020. Tunnel Emitter: Tunnel Diode Based Low-Power Carrier Emitters for Backscatter Tags. In MobiCom '20. ACM.
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Ambuj Varshney et al. 2022. Judo: addressing the energy asymmetry of wireless embedded systems through tunnel diode based wireless transmitters. In MobiSys '22. ACM.
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Yan Wang et al. 2014. E-eyes: device-free location-oriented activity identification using fine-grained wifi signatures. In MobiCom '14. ACM.

Cited By

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  • (2023)Beyond BroadcastingProceedings of the 11th International Workshop on Energy Harvesting & Energy-Neutral Sensing Systems10.1145/3628353.3628546(30-36)Online publication date: 12-Nov-2023

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Published In

cover image ACM Conferences
MobiCom '22: Proceedings of the 28th Annual International Conference on Mobile Computing And Networking
October 2022
932 pages
ISBN:9781450391818
DOI:10.1145/3495243
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 October 2022

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Author Tags

  1. contact-free sensing
  2. gesture sensing
  3. internet of things
  4. tunnel diodes
  5. wireless

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Funding Sources

  • National University of Singapore
  • Swedish Foundation for Strategic Research (SSF)
  • Swedish Science Foundation

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ACM MobiCom '22
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Overall Acceptance Rate 440 of 2,972 submissions, 15%

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Cited By

View all
  • (2023)Beyond BroadcastingProceedings of the 11th International Workshop on Energy Harvesting & Energy-Neutral Sensing Systems10.1145/3628353.3628546(30-36)Online publication date: 12-Nov-2023

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