Data collection from LoRaWAN sensor network by UAV gateway : design, empirical results and dataset
Canello, Gianmarco; Mignardi, Silvia; Mikhaylov, Konstantin; Buratti, Chiara; Hänninen, Tuomo (2023-07-26)
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
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https://urn.fi/URN:NBN:fi-fe20230825107040
Tiivistelmä
Abstract
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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