Data

LoRaWAN Dense Indoor Sensor Network (DISN) Transmission Meta Data

BOND University
Grübel, Jascha ; Thrash, Tyler ; Helal, Didier ; Sumner, Robert W. ; Hölscher, Christoph ; Schinazi, Victor
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.5281/ZENODO.4476317&rft.title=LoRaWAN Dense Indoor Sensor Network (DISN) Transmission Meta Data&rft.identifier=10.5281/ZENODO.4476317&rft.publisher=Zenodo&rft.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.&rft.creator=Grübel, Jascha &rft.creator=Thrash, Tyler &rft.creator=Helal, Didier &rft.creator=Sumner, Robert W. &rft.creator=Hölscher, Christoph &rft.creator=Schinazi, Victor &rft.date=2021&rft.type=dataset&rft.language=English Access the data

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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.

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Associated Persons
Jascha Grübel (Creator); Tyler Thrash (Creator); Didier Helal (Creator); Robert W. Sumner (Creator); Christoph Hölscher (Creator)

Issued: 2021-01-28

Data time period: 2020-02-01 to 2020-09-30

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Other Information
Artifact: The Feasibility of Dense Indoor LoRaWAN towards Passively Sensing Human Presence

url : http://research.bond.edu.au/en/publications/7333454d-19d3-41cd-a598-5e688c464503

Conference contribution

The feasibility of dense indoor LorRaWan towards passively sensing human presence

url : http://research.bond.edu.au/en/publications/1725d246-a55d-462d-b878-2f9330cd8253

Conference contribution

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