publication . Article . 2018

A 2.2-μ W Cognitive Always-On Wake-Up Circuit for Event-Driven Duty-Cycling of IoT Sensor Nodes

Rovere, Giovanni; Fateh, Schekeb; Benini, Luca; id_orcid0000-0001-8068-3806;
Open Access English
  • Published: 01 Sep 2018
We report an always-on event-driven asynchronous wake-up circuit with trainable pattern recognition capabilities to duty-cycle power-constrained Internet-of-Things (IoT) sensor nodes. The wake-up circuit is based on a level-crossing analog-to-digital converter (LC-ADC) employed as a feature-extraction block with automatic activity-sampling rate scaling behavior. A novel asynchronous digital logic classifier for sequential pattern recognition is presented. It is driven by the LC-ADC activity and trained to minimize classification errors due to falsely detected events. As proof-of-concept, a prototype of the wake-up circuit is fabricated in 130nm CMOS technology w...
free text keywords: Wake-up circuit; LC-ADC; ultra-low-power; event-driven; asynchronous; clockless; supervised learning; classifier; training, asynchronous, classifier, clockless, event-driven, LC-ADC, supervised learning, training, ultra-low-power, Wake-up circuit, Electrical and Electronic Engineering
Funded by
Open transPREcision COMPuting
  • Funder: European Commission (EC)
  • Project Code: 732631
  • Funding stream: H2020 | RIA
FET H2020FET PROACT: FET Proactive: emerging themes and communities
FET H2020FET PROACT: Open transPREcision COMPuting
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