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

Darshit Mehta, Kenji Aono and Shantanu Chakrabartty ()
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Darshit Mehta: Washington University in St. Louis
Kenji Aono: Washington University in St. Louis
Shantanu Chakrabartty: Washington University in St. Louis

Nature Communications, 2020, vol. 11, issue 1, 1-9

Abstract: 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.

Date: 2020
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DOI: 10.1038/s41467-020-19292-w

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