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A2Event: A Micro-Watt Programmable Frequency-Time Detector for Always-On Energy-Neutral Sensing
2020 (English)In: Sustainable Computing: Informatics and Systems, ISSN 2210-5379, E-ISSN 2210-5387, Vol. 25, article id 100368Article in journal (Refereed) Published
Abstract [en]

Internet of Things (IoT) sensors are becoming more and more intelligence and unobtrusive, surrounding us in everyday life. A key requirement for those devices is to be “always-on” performing “smart” detection to catch only the events of interest when they occur. A recent and trend is to design low power circuit to extract features close to the sensors without an analog-digital conversion. The goal is to achieve place-and-forget deployment with perpetual operation: this poses the challenge of achieving micro-watt power consumption of the always-on analog event detector and of harvesting energy from environmental sources, to supply the smart sensor. This paper presents A2Event (Analog to Event), a microwatt programmable pattern recognition circuit for analog sensors, with up to 128 simultaneous time-frequency features exploiting mixed-signal low power design, which is able to generate an event when a targeted pattern is recognized. Moreover, the paper proposes a self-sustaining always-on smart audio detector that combines A2Event with energy harvesting to detect events of interests perpetually. Experimental results show that A2Event consumes only 26.89 μW in always-on mode, during the time-frequency feature-extraction, while the whole system consumes only 63 μW during pattern recognition including the power for a commercial MEMS microphone and the energy harvesting subsystem. We demonstrate that the whole smart sensor operates perpetually when powered with a small form factor flexible photovoltaic panel in indoor lighting conditions, achieving a detection accuracy of 100% in the detection of two different audio streams. © 2019 Elsevier Inc.

Place, publisher, year, edition, pages
Elsevier Inc. , 2020. Vol. 25, article id 100368
Keywords [en]
Acoustic Sensors, Always-on Sensing, Energy Harvesting, Event-Driven Sensors, Low-power Design, Self-Sustaining Sensors, Electric power supplies to apparatus, Internet of things, Microphones, Pattern recognition systems, Photovoltaic cells, Smart sensors, Event-driven, Harvesting energies, Internet of Things (IOT), Photovoltaic panels, Time frequency features, Low power electronics
Identifiers
URN: urn:nbn:se:miun:diva-41578DOI: 10.1016/j.suscom.2019.100368ISI: 000519276600001Scopus ID: 2-s2.0-85076839894OAI: oai:DiVA.org:miun-41578DiVA, id: diva2:1536164
Available from: 2021-03-10 Created: 2021-03-10 Last updated: 2021-04-30Bibliographically approved

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Magno, M.
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CiteExportLink to record
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  • apa
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