Breaking unusual barriers in sensor interfaces: From minimum energy to ultimate low cost

H. Xin; M. Fattori; P. Harpe; E. Cantatore

doi:10.1007/978-3-030-91741-8_10

Breaking unusual barriers in sensor interfaces: From minimum energy to ultimate low cost

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

Abstract

IoT sensor nodes have requirements that are profoundly different from more traditional electronic applications. They often rely on miniature batteries for power supply, but demand limited accuracy. For this reason, radically new sensor interfaces architectures have been conceived, which ensure record-low average power and energy per measurement, while making it possible to interface different types of sensors at the same time. At the other side of the spectrum, novel IoT applications can be enabled by unconventional form factors and new fabrication technologies, such as intelligent sensors that can be printed on the packaging of perishable goods, to monitor their keeping quality, at a cost comparable to graphic printing of labels.

Original language	English
Title of host publication	Analog Circuits for Machine Learning, Current/Voltage/Temperature Sensors, and High-speed Communication
Subtitle of host publication	Advances in Analog Circuit Design 2021
Editors	Pieter Harpe, Kofi A.A. Makinwa, Andrea Baschirotto
Place of Publication	Cham
Publisher	Springer
Chapter	10
Pages	165-190
Number of pages	26
ISBN (Electronic)	978-3-030-91741-8
ISBN (Print)	978-3-030-91740-1, 978-3-030-91743-2
DOIs	https://doi.org/10.1007/978-3-030-91741-8_10
Publication status	Published - 25 Mar 2022

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10.1007/978-3-030-91741-8_10

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Xin, H., Fattori, M., Harpe, P., & Cantatore, E. (2022). Breaking unusual barriers in sensor interfaces: From minimum energy to ultimate low cost. In P. Harpe, K. A. A. Makinwa, & A. Baschirotto (Eds.), Analog Circuits for Machine Learning, Current/Voltage/Temperature Sensors, and High-speed Communication: Advances in Analog Circuit Design 2021 (pp. 165-190). Springer. https://doi.org/10.1007/978-3-030-91741-8_10

Xin, H. ; Fattori, M. ; Harpe, P. et al. / Breaking unusual barriers in sensor interfaces : From minimum energy to ultimate low cost. Analog Circuits for Machine Learning, Current/Voltage/Temperature Sensors, and High-speed Communication: Advances in Analog Circuit Design 2021. editor / Pieter Harpe ; Kofi A.A. Makinwa ; Andrea Baschirotto. Cham : Springer, 2022. pp. 165-190

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Xin, H, Fattori, M , Harpe, P & Cantatore, E 2022, Breaking unusual barriers in sensor interfaces: From minimum energy to ultimate low cost. in P Harpe, KAA Makinwa & A Baschirotto (eds), Analog Circuits for Machine Learning, Current/Voltage/Temperature Sensors, and High-speed Communication: Advances in Analog Circuit Design 2021. Springer, Cham, pp. 165-190. https://doi.org/10.1007/978-3-030-91741-8_10

Breaking unusual barriers in sensor interfaces: From minimum energy to ultimate low cost. / Xin, H.; Fattori, M.; Harpe, P. et al.
Analog Circuits for Machine Learning, Current/Voltage/Temperature Sensors, and High-speed Communication: Advances in Analog Circuit Design 2021. ed. / Pieter Harpe; Kofi A.A. Makinwa; Andrea Baschirotto. Cham: Springer, 2022. p. 165-190.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

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Xin H, Fattori M , Harpe P , Cantatore E. Breaking unusual barriers in sensor interfaces: From minimum energy to ultimate low cost. In Harpe P, Makinwa KAA, Baschirotto A, editors, Analog Circuits for Machine Learning, Current/Voltage/Temperature Sensors, and High-speed Communication: Advances in Analog Circuit Design 2021. Cham: Springer. 2022. p. 165-190 doi: 10.1007/978-3-030-91741-8_10

Breaking unusual barriers in sensor interfaces: From minimum energy to ultimate low cost

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