Published March 24, 2021 | Version v1.0.0
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Video for Presentation "The Feasibility of Dense Indoor LoRaWAN Towards Passively Sensing Human Presence"

Creators

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

Contributors

Research group:

  • 1. ETH Zürich

Description

The talk was given in the Best Paper Candidate session at 11:30am CET on the 24th of March 2021 at the 19th IEEE International Conference on Pervasive Computing and Communications  (PerCom 2021) in Kassel, Germany. This version of the talk was pre-recorded as a backup by the author. The teaser summarized the paper in one minute and has been circulated on Twitter before the conference and is stored here for reference.

The paper and talk introduces the concept of a Dense Indoor Sensor Network (DISN) and investigates whether Long Range Wide Area Networks (LoRaWAN) are a feasible technology to underpin a DISN. We test a DISN with 390 sensor devices in an office building at ETH Zürich for 5 months in 2020 - however, the system is still collecting data until at least December 2021. We find that the a gateway every 30m and 5 floors provides an effective coverage for a DISN based on LoRaWAN ensuring both signal quality and redundancy.

The paper and talk also aim towards passively sense human presence based on a DISN. They give a preview of the collected data by using the COVID-19 induced lockdown as a natural experiment to expose the human-activity related variation in sensor measurements in the building.

Notes

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

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Additional details

Related works

Describes
Other: 10.1109/PerComWorkshops51409.2021.9431070 (DOI)
Is supplement to
Conference paper: 10.1109/PERCOM50583.2021.9439137 (DOI)
References
Dataset: 10.5281/zenodo.4476317 (DOI)

References

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