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Flexible and Self-adaptive Sense-and-Compress for sub-microWatt always-on sensory recording
Boekbijdrage - Boekhoofdstuk Conferentiebijdrage
© 2018 IEEE. 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.
Boek: ESSCIRC 2018 - IEEE 44TH EUROPEAN SOLID STATE CIRCUITS CONFERENCE (ESSCIRC)
Pagina's: 282 - 285
Aantal pagina's: 4
Jaar van publicatie:2018