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Pregled bibliografske jedinice broj: 1186005

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


Zidar, Josip; Matic, Tomislav; Aleksi, Ivan; Sušac, Filip
Low Power Embedded System Sensor Selection for Environmental Condition Monitoring in Supply Chain // International journal of electrical and computer engineering systems, 13 (2022), 2; 99-107 doi:10.32985/ijeces.13.2.2 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1186005 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

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

Autori
Zidar, Josip ; Matic, Tomislav ; Aleksi, Ivan ; Sušac, Filip

Izvornik
International journal of electrical and computer engineering systems (1847-6996) 13 (2022), 2; 99-107

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

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

Sažetak
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 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.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Interdisciplinarne tehničke znanosti, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Projekti:
EK-EFRR-KK.01.1.1.04.0116 - Pametna naljepnica za mjerenje i praćenje uvjeta skladištenja i transporta proizvoda (Pametna naljepnica) (Žagar, Drago, EK - Europski fond za regionalni razvoj, Poziv „Ulaganje u znanost i inovacije - Prvi poziv) ( CroRIS)

Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek

Profili:

Avatar Url Filip Sušac (autor)

Avatar Url Ivan Aleksi (autor)

Avatar Url Tomislav Matić (autor)

Avatar Url Josip Zidar (autor)

Poveznice na cjeloviti tekst rada:

doi doi.org ijeces.ferit.hr

Citiraj ovu publikaciju:

Zidar, Josip; Matic, Tomislav; Aleksi, Ivan; Sušac, Filip
Low Power Embedded System Sensor Selection for Environmental Condition Monitoring in Supply Chain // International journal of electrical and computer engineering systems, 13 (2022), 2; 99-107 doi:10.32985/ijeces.13.2.2 (međunarodna recenzija, članak, znanstveni)
Zidar, J., Matic, T., Aleksi, I. & Sušac, F. (2022) Low Power Embedded System Sensor Selection for Environmental Condition Monitoring in Supply Chain. International journal of electrical and computer engineering systems, 13 (2), 99-107 doi:10.32985/ijeces.13.2.2.
@article{article, author = {Zidar, Josip and Matic, Tomislav and Aleksi, Ivan and Su\v{s}ac, Filip}, year = {2022}, pages = {99-107}, DOI = {10.32985/ijeces.13.2.2}, keywords = {low power, embedded system, sensor, supply chain, environmental condition monitoring}, journal = {International journal of electrical and computer engineering systems}, doi = {10.32985/ijeces.13.2.2}, volume = {13}, number = {2}, issn = {1847-6996}, title = {Low Power Embedded System Sensor Selection for Environmental Condition Monitoring in Supply Chain}, keyword = {low power, embedded system, sensor, supply chain, environmental condition monitoring} }
@article{article, author = {Zidar, Josip and Matic, Tomislav and Aleksi, Ivan and Su\v{s}ac, Filip}, year = {2022}, pages = {99-107}, DOI = {10.32985/ijeces.13.2.2}, keywords = {low power, embedded system, sensor, supply chain, environmental condition monitoring}, journal = {International journal of electrical and computer engineering systems}, doi = {10.32985/ijeces.13.2.2}, volume = {13}, number = {2}, issn = {1847-6996}, title = {Low Power Embedded System Sensor Selection for Environmental Condition Monitoring in Supply Chain}, keyword = {low power, embedded system, sensor, supply chain, environmental condition monitoring} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Emerging Sources Citation Index (ESCI)
  • Scopus


Citati:





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