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A self-powered analog sensor-data-logging device based on Fowler-Nordheim dynamical systems

Author

Listed:
  • Darshit Mehta

    (Washington University in St. Louis)

  • Kenji Aono

    (Washington University in St. Louis)

  • Shantanu Chakrabartty

    (Washington University in St. Louis
    Washington University in St. Louis)

Abstract

Continuous, battery-free operation of sensor nodes requires ultra-low-power sensing and data-logging techniques. Here we report that by directly coupling a sensor/transducer signal into globally asymptotically stable monotonic dynamical systems based on Fowler-Nordheim quantum tunneling, one can achieve self-powered sensing at an energy budget that is currently unachievable using conventional energy harvesting methods. The proposed device uses a differential architecture to compensate for environmental variations and the device can retain sensed information for durations ranging from hours to days. With a theoretical operating energy budget less than 10 attojoules, we demonstrate that when integrated with a miniature piezoelectric transducer the proposed sensor-data-logger can measure cumulative “action” due to ambient mechanical acceleration without any additional external power.

Suggested Citation

  • Darshit Mehta & Kenji Aono & Shantanu Chakrabartty, 2020. "A self-powered analog sensor-data-logging device based on Fowler-Nordheim dynamical systems," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-19292-w
    DOI: 10.1038/s41467-020-19292-w
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    Cited by:

    1. Darshit Mehta & Mustafizur Rahman & Kenji Aono & Shantanu Chakrabartty, 2022. "An adaptive synaptic array using Fowler–Nordheim dynamic analog memory," Nature Communications, Nature, vol. 13(1), pages 1-11, December.

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