Flexible and self-adaptive sense-and-compress for sub-microWatt always-on sensory recording

Jaro de Roose, Haoming Xin, Martin Andraud, Pieter J.A. Harpe, Marian Verhelst

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)
1 Downloads (Pure)

Abstract

Miniaturized sensory systems for IoT applications experience a severe power burden from their wireless link and/or embedded storage system. Compressive sensing techniques target data compression before storage and transmission to save power, while minimizing information loss. This work proposes a self-adaptive sense-and-compress system, which consumes only 45-884n W while continuously recording and compressing signals with a bandwidth up to 5kHz. The flexible system uses a combination of off-line Evolutionary Algorithms, and on-line self-adaptivity to constantly adapt to the incoming sensory data statistics, and the current application quality requirements. The 0.27mm2 sense-and-compress interface is integrated in a 65nm CMOS technology, together with an on-board temperature sensor, or can interface with any external sensor. The scalable, self-adaptive system is moreover heavily optimized for low-power and low-leakage, resulting in a tiny, efficient, yet flexible interface allowing always-on sensory monitoring, while consuming 2.5X less power compared to the current State-of-the-Art.

Original languageEnglish
Title of host publicationESSCIRC 2018 - IEEE 44th European Solid State Circuits Conference
Place of PublicationPiscataway
Pages282-285
Number of pages4
ISBN (Electronic)978-1-5386-5404-0
DOIs
Publication statusPublished - 16 Oct 2018
Event44th IEEE European Solid State Circuits Conference, ESSCIRC 2018 - Dresden, Germany
Duration: 3 Sep 20186 Sep 2018

Conference

Conference44th IEEE European Solid State Circuits Conference, ESSCIRC 2018
Abbreviated titleESSCIRC 2018
CountryGermany
CityDresden
Period3/09/186/09/18

Fingerprint

recording
Adaptive systems
Data compression
Temperature sensors
Evolutionary algorithms
Telecommunication links
data compression
Statistics
temperature sensors
Bandwidth
compressing
Monitoring
CMOS
Sensors
leakage
statistics
bandwidth
requirements
sensors
Internet of things

Cite this

de Roose, J., Xin, H., Andraud, M., Harpe, P. J. A., & Verhelst, M. (2018). Flexible and self-adaptive sense-and-compress for sub-microWatt always-on sensory recording. In ESSCIRC 2018 - IEEE 44th European Solid State Circuits Conference (pp. 282-285). [8494270] Piscataway. https://doi.org/10.1109/ESSCIRC.2018.8494270
de Roose, Jaro ; Xin, Haoming ; Andraud, Martin ; Harpe, Pieter J.A. ; Verhelst, Marian. / Flexible and self-adaptive sense-and-compress for sub-microWatt always-on sensory recording. ESSCIRC 2018 - IEEE 44th European Solid State Circuits Conference. Piscataway, 2018. pp. 282-285
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de Roose, J, Xin, H, Andraud, M, Harpe, PJA & Verhelst, M 2018, Flexible and self-adaptive sense-and-compress for sub-microWatt always-on sensory recording. in ESSCIRC 2018 - IEEE 44th European Solid State Circuits Conference., 8494270, Piscataway, pp. 282-285, 44th IEEE European Solid State Circuits Conference, ESSCIRC 2018, Dresden, Germany, 3/09/18. https://doi.org/10.1109/ESSCIRC.2018.8494270

Flexible and self-adaptive sense-and-compress for sub-microWatt always-on sensory recording. / de Roose, Jaro; Xin, Haoming; Andraud, Martin; Harpe, Pieter J.A.; Verhelst, Marian.

ESSCIRC 2018 - IEEE 44th European Solid State Circuits Conference. Piscataway, 2018. p. 282-285 8494270.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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de Roose J, Xin H, Andraud M, Harpe PJA, Verhelst M. Flexible and self-adaptive sense-and-compress for sub-microWatt always-on sensory recording. In ESSCIRC 2018 - IEEE 44th European Solid State Circuits Conference. Piscataway. 2018. p. 282-285. 8494270 https://doi.org/10.1109/ESSCIRC.2018.8494270