University of Oulu

G. Canello, S. Mignardi, K. Mikhaylov, C. Buratti and T. Hänninen, "Data collection from LoRaWAN sensor network by UAV gateway: design, empirical results and dataset," 2023 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), Gothenburg, Sweden, 2023, pp. 555-560, doi: 10.1109/EuCNC/6GSummit58263.2023.10188238

Data collection from LoRaWAN sensor network by UAV gateway : design, empirical results and dataset

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Author: Canello, Gianmarco1,2; Mignardi, Silvia1,2; Mikhaylov, Konstantin1,2;
Organizations: 1Center for Wireless Communications, University of Oulu, Finland
2DEI, University of Bologna, Italy
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 3.2 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2023
Publish Date: 2023-08-25


Collecting data from Internet-of-Things (IoT) devices, especially the variety of sensors dispersed in the environment, is an increasingly important and difficult task. Several long-range radio-access technologies, such as low-power wide-area networks (LPWAN) and specifically LoRaWAN, have been proposed to address this challenge. However, until now, the key focus of the related studies has been on static terrestrial LPWAN deployments. In this study, we depart from this vision and investigate the practical feasibility and performance of a LoRaWAN gateway (GW) on a flying platform, specifically — an unmanned aerial vehicle (UAV). The key contributions of this study are (i) the design and field-testing of a packet-sniffer-based mobile LoRaWAN GW prototype, allowing collection of the data from LoRaWAN networks, including the already deployed ones; (ii) the open-publication of the data collected during our experimental campaign in the 426 LoRaWAN sensor node network of the University of Oulu illustrating the performance of different drone trajectories; (iii) the initial results of the system’s performance analysis, revealing some interesting trends and setting goals for further studies, and pinpointing the lessons learned during the experimental campaign. Our empirical findings suggest that the Travelling Salesman Problem (TSP) trajectory is the most effective moving trajectory for the number of packets collected and the average energy consumed per packet collected.

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Series: European Conference on Networks and Communications
ISSN: 2475-6490
ISSN-E: 2575-4912
ISSN-L: 2475-6490
ISBN: 979-8-3503-1102-0
ISBN Print: 979-8-3503-1103-7
Pages: 555 - 560
DOI: 10.1109/EuCNC/6GSummit58263.2023.10188238
Host publication: 2023 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)
Conference: Joint European Conference on Networks and Communications & 6G Summit
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: The research was supported by the Academy of Finland projects FIREMAN (decision 348008), MRAT-SafeDrone (341111), Robomesh (336060) and 6G Flagship program (346208). The study was also supported by COST Action CA20120 INTERACT.
Academy of Finland Grant Number: 348008
Detailed Information: 348008 (Academy of Finland Funding decision)
341111 (Academy of Finland Funding decision)
336060 (Academy of Finland Funding decision)
346208 (Academy of Finland Funding decision)
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