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Publikationstyp: Konferenz: Paper
Art der Begutachtung: Peer review (Publikation)
Titel: Low power LoRaWAN node based on FRAM microcontroller
Autor/-in: Meli, Marcel
Furter, Claudio
Karakostas, Konstantinos
Kouzinopoulos, Charalampos
Tzovaras, Dimitrios
et. al: No
DOI: 10.1109/IDAACS-SWS50031.2020.9297075
10.21256/zhaw-21528
Tagungsband: Proceedings of the 2020 IEEE 5th International Symposium on Smart and Wireless Systems
Angaben zur Konferenz: 2020 IEEE 5th International Symposium on Smart and Wireless Systems within the Conferences on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS-SWS), Dortmund (online), 17-18 September 2020
Erscheinungsdatum: 2020
Verlag / Hrsg. Institution: IEEE
ISBN: 978-1-7281-9960-3
978-1-7281-9961-0
Sprache: Englisch
Schlagwörter: LPWAN; LoRaWAN; FRAM; Low power; Energy Harvesting; LoRa
Fachgebiet (DDC): 004: Informatik
Zusammenfassung: In the quest to improve the energy requirements of LPWAN nodes and make them more suitable for energy harvesting, a microcontroller with onchip Ferroelectric Random Access Memory (FRAM) was used as a controller in a LoRaWAN node. Energy measurements showed that the performance of such a device is comparable or better than that of a similar FLASH-based microcontroller. Furthermore, the advantages resulting from the high endurance and low-power characteristics of FRAM memories can be used to improve the node.
Weitere Angaben: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
URI: https://digitalcollection.zhaw.ch/handle/11475/21528
Volltext Version: Akzeptierte Version
Lizenz (gemäss Verlagsvertrag): Lizenz gemäss Verlagsvertrag
Departement: School of Engineering
Organisationseinheit: Institute of Embedded Systems (InES)
Publiziert im Rahmen des ZHAW-Projekts: AMANDA – AutonoMous self powered miniAturized iNtelligent sensor for environmental sensing anD asset tracking in smArt IoT environments
Enthalten in den Sammlungen:Publikationen School of Engineering

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Meli, M., Furter, C., Karakostas, K., Kouzinopoulos, C., & Tzovaras, D. (2020). Low power LoRaWAN node based on FRAM microcontroller. Proceedings of the 2020 IEEE 5th International Symposium on Smart and Wireless Systems. https://doi.org/10.1109/IDAACS-SWS50031.2020.9297075
Meli, M. et al. (2020) ‘Low power LoRaWAN node based on FRAM microcontroller’, in Proceedings of the 2020 IEEE 5th International Symposium on Smart and Wireless Systems. IEEE. Available at: https://doi.org/10.1109/IDAACS-SWS50031.2020.9297075.
M. Meli, C. Furter, K. Karakostas, C. Kouzinopoulos, and D. Tzovaras, “Low power LoRaWAN node based on FRAM microcontroller,” in Proceedings of the 2020 IEEE 5th International Symposium on Smart and Wireless Systems, 2020. doi: 10.1109/IDAACS-SWS50031.2020.9297075.
MELI, Marcel, Claudio FURTER, Konstantinos KARAKOSTAS, Charalampos KOUZINOPOULOS und Dimitrios TZOVARAS, 2020. Low power LoRaWAN node based on FRAM microcontroller. In: Proceedings of the 2020 IEEE 5th International Symposium on Smart and Wireless Systems. Conference paper. IEEE. 2020. ISBN 978-1-7281-9960-3
Meli, Marcel, Claudio Furter, Konstantinos Karakostas, Charalampos Kouzinopoulos, and Dimitrios Tzovaras. 2020. “Low Power LoRaWAN Node Based on FRAM Microcontroller.” Conference paper. In Proceedings of the 2020 IEEE 5th International Symposium on Smart and Wireless Systems. IEEE. https://doi.org/10.1109/IDAACS-SWS50031.2020.9297075.
Meli, Marcel, et al. “Low Power LoRaWAN Node Based on FRAM Microcontroller.” Proceedings of the 2020 IEEE 5th International Symposium on Smart and Wireless Systems, IEEE, 2020, https://doi.org/10.1109/IDAACS-SWS50031.2020.9297075.


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