Published January 28, 2021 | Version 1.0.0
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LoRaWAN Dense Indoor Sensor Network (DISN) Transmission Meta Data

Authors/Creators

  • 1. ETH Zürich
  • 2. Miami University
  • 3. Orbiwise
  • 4. Bond University

Contributors

Research group:

  • 1. ETH Zürich

Description

We present a large data of indoor Long Range Wide Area Network (LoRaWAN) network metadata to study Dense Indoor Sensor Networks (DISN). We collected 14 million transmissions from 390 sensors between date February 2020 and date September 2020. The transmissions have been received by 3 gateways across 8 floors and distances up to 64 m. The prototype will run in the background throughout the project and the data set will be regularly updated.

 

Notes

The accompanying research is presented at IEEE International Conference on Pervasive Computing and Communications 2021 (PerCom'21). The research that produced this data set is funded by ETH Zürich under the grant ETH-15 16-2. We thank Michal Gath-Morad for the BIM used for distance computations.

Files

2021_PerCom_artifact_description.pdf

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Additional details

Related works

Is supplement to
Presentation: 10.5281/zenodo.4605349 (DOI)
Conference paper: 10.1109/PERCOM50583.2021.9439137 (DOI)
Is supplemented by
Other: 10.1109/PerComWorkshops51409.2021.9431070 (DOI)
Requires
Dataset: 10.5281/zenodo.6345415 (DOI)