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

Jascha Grubel; Tyler Thrash; Didier Helal; Robert W. Sumner; Christoph Holscher; Victor R. Schinazi

doi:10.1109/PerComWorkshops51409.2021.9431070

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

Jascha Grubel, Tyler Thrash, Didier Helal, Robert W. Sumner, Christoph Holscher, Victor R. Schinazi

Faculty of Society & Design

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

5 Citations (Scopus)

192 Downloads (Pure)

Abstract

We present a large data set of 14 million entries of indoor Long Range Wide Area Network (LoRaWAN) transmission metadata to study Dense Indoor Sensor Networks (DISN) [1]. We also provide a mixed model implementation in an R-Markdown file for analyzing the transmissions based on the metadata to obtain all transmission-related results of the main paper. The data set will regularly expand as the system continues to collect data until at least 2022.

Original language	English
Title of host publication	2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	444-445
Number of pages	2
ISBN (Electronic)	9781665404242
DOIs	https://doi.org/10.1109/PerComWorkshops51409.2021.9431070
Publication status	Published - 22 Mar 2021
Event	2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021 - Kassel, Germany Duration: 22 Mar 2021 → 26 Mar 2021

Publication series

Name	2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021

Conference

Conference	2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021
Country/Territory	Germany
City	Kassel
Period	22/03/21 → 26/03/21

Access to Document

10.1109/PerComWorkshops51409.2021.9431070

Artifact: The Feasibility of Dense Indoor LoRaWAN Towards Passively Sensing Human PresenceAccepted author manuscript, 645 KBLicence: Other

Cite this

Grubel, J., Thrash, T., Helal, D., Sumner, R. W., Holscher, C., & Schinazi, V. R. (2021). Artifact: The Feasibility of Dense Indoor LoRaWAN towards Passively Sensing Human Presence. In 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (pp. 444-445). Article 9431070 (2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/PerComWorkshops51409.2021.9431070

Grubel, Jascha ; Thrash, Tyler ; Helal, Didier et al. / Artifact: The Feasibility of Dense Indoor LoRaWAN towards Passively Sensing Human Presence. 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). IEEE, Institute of Electrical and Electronics Engineers, 2021. pp. 444-445 (2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021).

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abstract = "We present a large data set of 14 million entries of indoor Long Range Wide Area Network (LoRaWAN) transmission metadata to study Dense Indoor Sensor Networks (DISN) [1]. We also provide a mixed model implementation in an R-Markdown file for analyzing the transmissions based on the metadata to obtain all transmission-related results of the main paper. The data set will regularly expand as the system continues to collect data until at least 2022. ",

author = "Jascha Grubel and Tyler Thrash and Didier Helal and Sumner, {Robert W.} and Christoph Holscher and Schinazi, {Victor R.}",

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Grubel, J, Thrash, T, Helal, D, Sumner, RW, Holscher, C & Schinazi, VR 2021, Artifact: The Feasibility of Dense Indoor LoRaWAN towards Passively Sensing Human Presence. in 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)., 9431070, 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021, IEEE, Institute of Electrical and Electronics Engineers, pp. 444-445, 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021, Kassel, Germany, 22/03/21. https://doi.org/10.1109/PerComWorkshops51409.2021.9431070

Artifact: The Feasibility of Dense Indoor LoRaWAN towards Passively Sensing Human Presence. / Grubel, Jascha; Thrash, Tyler; Helal, Didier et al.
2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). IEEE, Institute of Electrical and Electronics Engineers, 2021. p. 444-445 9431070 (2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

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AU - Thrash, Tyler

AU - Helal, Didier

AU - Sumner, Robert W.

AU - Holscher, Christoph

AU - Schinazi, Victor R.

PY - 2021/3/22

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N2 - We present a large data set of 14 million entries of indoor Long Range Wide Area Network (LoRaWAN) transmission metadata to study Dense Indoor Sensor Networks (DISN) [1]. We also provide a mixed model implementation in an R-Markdown file for analyzing the transmissions based on the metadata to obtain all transmission-related results of the main paper. The data set will regularly expand as the system continues to collect data until at least 2022.

AB - We present a large data set of 14 million entries of indoor Long Range Wide Area Network (LoRaWAN) transmission metadata to study Dense Indoor Sensor Networks (DISN) [1]. We also provide a mixed model implementation in an R-Markdown file for analyzing the transmissions based on the metadata to obtain all transmission-related results of the main paper. The data set will regularly expand as the system continues to collect data until at least 2022.

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Grubel J, Thrash T, Helal D, Sumner RW, Holscher C, Schinazi VR. Artifact: The Feasibility of Dense Indoor LoRaWAN towards Passively Sensing Human Presence. In 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). IEEE, Institute of Electrical and Electronics Engineers. 2021. p. 444-445. 9431070. (2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021). doi: 10.1109/PerComWorkshops51409.2021.9431070

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

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LoRaWAN Dense Indoor Sensor Network (DISN) Transmission Meta Data

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

Abstract

Publication series

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Related Datasets

LoRaWAN Dense Indoor Sensor Network (DISN) Transmission Meta Data

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