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International Journal of Electrical and Computer Engineering Systems, Vol. 13 No. 2, 2022.

Original scientific paper

https://doi.org/10.32985/ijeces.13.2.2

Low Power Embedded System Sensor Selection for Environmental Condition Monitoring in Supply Chain

Josip Zidar orcid id orcid.org/0000-0001-6859-4712 ; J. J. Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Tomislav Matić ; J. J. Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Ivan Aleksi orcid id orcid.org/0000-0002-6027-7736 ; J. J. Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Filip Sušac orcid id orcid.org/0000-0002-4558-8237 ; J. J. Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

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Abstract

In the modern world, different products and goods are available throughout the world thanks to the complex supply chain system. Often products are transported on long journeys with different transportation systems where products can be damaged or spoiled. Smart Sticker is a concept for product environmental condition monitoring that can resolve some problems in the supply chain. Smart Sticker will record product environmental data in the supply chain and enable producer/consumer product monitoring. Because of ultra-low-power design, Smart Sticker component selection must satisfy ultra-low-power specifications, besides standard accuracy, and real-time implementation. In this paper, we give an overview of the necessary measured environmental parameters and the selection of sensors with an emphasis on low power design. We provided a model for the calculation of the maximum operating time, which is applied for the two Smart Sticker instances with significantly different energy consumptions. In the worst-case scenario operation time is 198 days which can be increased with a higher capacity battery.

Keywords

low power; embedded system; sensor; supply chain; environmental condition monitoring

Hrčak ID:

275167

URI

https://hrcak.srce.hr/275167

Publication date:

28.2.2022.

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