University of Hertfordshire

By the same authors

Low power probabilistic online monitoring of systematic erroneous behaviour

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mauricio D. Gutierrez
  • Vasileios Tenentes
  • Tom J. Kazmierski
  • Daniele Rossi
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Original languageEnglish
Title of host publicationProceedings - 2017 22nd IEEE European Test Symposium, ETS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509054572
DOIs
Publication statusPublished - 3 Jul 2017
Event22nd IEEE European Test Symposium, ETS 2017 - Limassol, Cyprus
Duration: 22 May 201726 May 2017

Conference

Conference22nd IEEE European Test Symposium, ETS 2017
CountryCyprus
CityLimassol
Period22/05/1726/05/17

Abstract

Electronic devices with power-constrained embedded systems are used for a variety of IoT applications, such as geo-monitoring, parking sensors and surveillance, which may tolerate few errors and may not be constrained by a strict error detection latency requirement. In this poster, we propose a novel low power online error monitoring technique that produces an alarm signal when systematic erroneous behaviour has occurred over a pre-defined time interval. A monitoring architecture monitors the signal probabilities of the logic cones concurrently to its normal operation and compares them on-chip against the signature of error-free behaviour. Results on a set of the EPFL'15 benchmarks show an average error coverage of 82.9% of errors induced by stuck-At faults, with an average area cost of 1.2% and an error detection latency of [0.01, 3.3] milliseconds.

ID: 13198175