Fraunhofer-Gesellschaft

Publica

Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

Low-Power Modular Multi-Sensor Node with ZeSCIP Analog Frontend

 
: Jotschke, Marcel; Prabakaran, Harsha; Reich, Torsten

:

Institute of Electrical and Electronics Engineers -IEEE-; IEEE Computer Society:
IEEE Congress on Cybermatics 2020. Proceedings : IEEE International Conferences on Internet of Things (iThings), IEEE Green Computing and Communications (GreenCom), IEEE Cyber, Physical and Social Computing (CPSCom), IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics), 2 - 6 November 2020, Rhodes Island, Greece, held virtually
Los Alamitos, Calif.: IEEE Computer Society Conference Publishing Services (CPS), 2020
ISBN: 978-1-7281-7648-2
ISBN: 978-1-7281-7647-5
S.241-245
Congress on Cybermatics <2020, Online>
International Conference on Internet of Things (iThings) <13, 2020, Online>
International Conference on Green Computing and Communications (GreenCom) <16, 2020, Online>
International Conference on Cyber, Physical and Social Computing (CPSCom) <13, 2020, Online>
International Conference on Smart Data (SmartData) <6, 2020, Online>
Fraunhofer-Gesellschaft FhG
ZePowEl
Towards Zero Power Electronics
Englisch
Konferenzbeitrag
Fraunhofer IIS, Institutsteil Entwurfsautomatisierung (EAS) ()
analog frontend; Ultra low power; harvester powered autonomous sensor node; NUCLEO; ARM Cortex M4

Abstract
The Zero-Power Signal Conditioning IP (ZeSCIP) aims to operate in an autonomous environmental sensor node with energy harvester-extended life time. In this application, the sensor analog frontend has to process environmental signals of different nature, while it is confronted with power and space limitations and low operating voltages. In a flexible modular setup, the ZeSCIP analog frontend is attached to commercial sensors, which represent a specific air quality sensing scenario. This multi-sensor module is stacked to an ARM Cortex M4-based STM32 Nucleo™ board, creating an operational test setup of a modular sensor node, controlled via USB link. In measurement, the module consumes only 35.5 μW during processing of light, CO gas and temperature sensor signals, which makes it suitable to be autonomously powered by energy harvesters.

: http://publica.fraunhofer.de/dokumente/N-621818.html