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Publication type: Conference paper
Type of review: Peer review (publication)
Title: Low light energy autonomous LoRaWAN node
Authors: Meli, Marcel
Brütsch, Manuel
Stajic, Stefan
Böbel, Manuel
Lorenz, David
Hegetschweiler, Lukas
Karanassos, Dimitris
Kouzinopoulos, Charalampos
et. al: No
DOI: 10.1109/IDAACS-SWS50031.2020.9297089
Proceedings: Proceedings of the 2020 IEEE 5th International Symposium on Smart and Wireless Systems
Conference details: 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
Issue Date: 2020
Publisher / Ed. Institution: IEEE
ISBN: 978-1-7281-9960-3
Language: English
Subjects: Energy harvesting; Solar cells; LPWAN; LoRaWAN; Power management
Subject (DDC): 004: Computer science
Abstract: A LoRaWAN node powered using an 8 cm2 solar cell was designed and its low light harvesting performance evaluated. The embedded system is used to sense some parameters and transmit the results every 10 minutes, using the spreading factor SF7BW125 and transmitting with + 8 dBm, which allows the coverage of a small building. The node can cold start with less than 30 lux. Once started, its operations can be sustained down to 20 lux. Operation at higher spreading factors or higher RF output power is also possible if the transmission interval is increased. Such a performance enables the use of energy autonomous LPWAN nodes in poorly lit environments. The small size of the solar cell makes it possible to build small nodes.
Further description: © 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.
Fulltext version: Accepted version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Embedded Systems (InES)
Published as part of the ZHAW project: AMANDA – AutonoMous self powered miniAturized iNtelligent sensor for environmental sensing anD asset tracking in smArt IoT environments
Appears in collections:Publikationen School of Engineering

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