ArticleScientific data2025
Measurement of LoRa signal propagation in urban areas utilizing aerial gateway and ground gateway.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Cognitive Radio for Satellite TT & C System: A General Dataset Using Software-defined Radio.Scientific data · 2026Article
- Measurement of LoRa signal propagation in urban areas utilizing aerial gateway and ground gateway.Scientific data · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
LoRaWAN, as a leading technology of LPWAN, has become a crucial driver of smart cities. Meanwhile, drones have become a key tool for enhancing LoRaWAN network performance. In this study, a comprehensive measurement of a large-scale LoRaWAN network in an urban environment was conducted. Specifically, 28 LoRaWAN end-devices have been deployed in various locations, covering outdoor, indoor, and multiple floors of buildings. Moreover, an aerial gateway mounted on the DJI Mavic 3, along with three ground gateways, has been deployed for data collection. The performance of aerial gateway at altitudes of 50 m, 100 m, and 150 m was also tested. Finally, a total of 28,576 raw data entries were obtained, including valuable information like RSSI, SNR, and timestamps. A preliminary evaluation of the LoRaWAN network was conducted to validate the dataset. To the best of our knowledge, this dataset is the first publicly available UAV-assisted LoRaWAN network measurement data in an urban environment. We believe that our dataset can be utilized in various research areas, including channel modeling, localization, and deep learning.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.