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

8 Citations (Scopus)
1 Downloads (Pure)


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
Number of pages4
ISBN (Electronic)978-1-5386-5404-0
Publication statusPublished - 16 Oct 2018
Event44th European Solid State Circuits Conference (ESSCIRC 2018) - Dresden, Germany
Duration: 3 Sept 20186 Sept 2018
Conference number: 44


Conference44th European Solid State Circuits Conference (ESSCIRC 2018)
Abbreviated titleESSCIRC 2018


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