Evidence map›Paper›PMID 40846878›Full record

ArticleScientific data2025

Measurement of LoRa signal propagation in urban areas utilizing aerial gateway and ground gateway.

Wenxin Tang, Honggang Zhao, Sitong Chen, Aoyang Li, Wenjing Yang, Wei Cheng, Yong Li, Limeng Dong

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Wenxin Tang *School of Electronics and Information, Northwestern Polytechnical University, Xi'an, 710072, China.
Honggang Zhao *School of Electronics and Information, Northwestern Polytechnical University, Xi'an, 710072, China. zhaohonggang@nwpu.edu.cn.
Sitong ChenSchool of Electronics and Information, Northwestern Polytechnical University, Xi'an, 710072, China.
Aoyang LiSchool of Electronics and Information, Northwestern Polytechnical University, Xi'an, 710072, China.
Wenjing YangCollege of Information and Communication, National University of Defense Technology, WuHan, China. xianywj@sohu.com.
Wei ChengSchool of Electronics and Information, Northwestern Polytechnical University, Xi'an, 710072, China.
Yong LiSchool of Electronics and Information, Northwestern Polytechnical University, Xi'an, 710072, China.
Limeng DongSchool of Electronics and Information, Northwestern Polytechnical University, Xi'an, 710072, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

PMID40846878
PMCPMC12373764

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.