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Video for Presentation "The Feasibility of Dense Indoor LoRaWAN Towards Passively Sensing Human Presence"

Grübel, Jascha; Thrash, Tyler; Hélal, Didier; Sumner, Robert W.; Hölscher, Christoph; Schinazi, Victor R.

Research group(s)
Gath-Morad, Michal

Thesis supervisor(s)

Sumner, Robert W.; Hölscher, Christoph

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.

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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  • Laput, Gierad, and Chris Harrison. "Exploring the efficacy of sparse, general-purpose sensor constellations for wide-area activity sensing." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 3.2 (2019): 1-19.

  • Wang, Wei, Jiayu Chen, and Tianzhen Hong. "Occupancy prediction through machine learning and data fusion of environmental sensing and Wi-Fi sensing in buildings." Automation in Construction 94 (2018): 233-243.

  • Brian Ray. "What Is LoRa? A Technical Breakdown" (2018)

  • The LoRa Alliance. "About LoRaWAN" (2018)

  • Abramson, Norman. "The ALOHA system: Another alternative for computer communications." Proceedings of the November 17-19, 1970, fall joint computer conference. 1970.

  • E. D. Ayele, C. Hakkenberg, J. P. Meijers, K. Zhang, N. Meratnia, and P. J. Havinga, "Performance analysis of lora radio for an indoor iot applications," in 2017 Int. Conf. Internet of Things for the Global Community (IoTGC). New York: IEEE, 2017.

  • M. M. Erbati, G. Schiele, and G. Batke, "Analysis of lorawan technology in an outdoor and an indoor scenario in duisburg-germany," in 2018 3rd Int. Conf. Comput. and Commun. Syst. (ICCCS). New York: IEEE, 2018, pp. 273–277.

  • L. Gregora, L. Vojtech, and M. Neruda, "Indoor signal propagation of lora technology," in 17th Int. Conf. Mechatronics-Mechatronika. New York: IEEE, 2016.

  • J. Haxhibeqiri, A. Karaagac, F. Van den Abeele, W. Joseph, I. Moerman, and J. Hoebeke, "Lora indoor coverage and performance in an industrial environment: Case study," in 22nd IEEE Int. Conf. Emerg. Technol. Factory Autom. (ETFA). New York: IEEE, 2017.

  • M. I. Muzammir, H. Z. Abidin, S. A. C. Abdullah, and F. H. K. Zaman, "Performance analysis of lorawan for indoor application," in 9th IEEE Symp. Comput. Appl. & Ind. Electron. (ISCAIE). New York: IEEE, 2019, pp. 156–159.

  • P. Neumann, J. Montavont, and T. Noel, "Indoor deployment of low-power wide area networks (LPWAN): A LoRaWAN case study," in 12th IEEE Int. Conf. Wireless and Mobile Comput., Netw. and Commun. (WiMob). New York: IEEE, 2016.

  • Petäjäjärvi, Juha, Konstantin Mikhaylov, Rumana Yasmin, Matti Hämäläinen, and Jari Iinatti. "Evaluation of LoRa LPWAN technology for indoor remote health and wellbeing monitoring." International Journal of Wireless Information Networks 24, no. 2 (2017): 153-165.

  • ] N. Vatcharatiansakul, P. Tuwanut, and C. Pornavalai, "Experimental performance evaluation of lorawan: A case study in bangkok," in 14th Int. Joint Conf. Comput. Science and Softw. Eng. (JCSSE). New York: IEEE, 2017.

  • T. Wendt, F. Volk, and E. Mackensen, "A benchmark survey of long range (lora) spread-spectrum-communication at 2.45 ghz for safety applications," in 16th IEEE Annu. Wireless and Microw. Technol. Conf. (WAMICON). New York: IEEE, 2015

  • C. Jiang, M. K. Masood, Y. C. Soh, and H. Li, "Indoor occupancy estimation from carbon dioxide concentration,"Energy and Buildings,vol. 131, pp. 132–141, 2016.

  • Z. Yang and B. Becerik-Gerber, "Modeling personalized occupancy profiles for representing long term patterns by using ambient context,"Building and Environment, vol. 78, pp. 23–35, 2014.

  • P. Liu, S. Nguang, and A. Partridge, "Occupancy Inference Using Pyroelectric Infrared Sensors Through Hidden Markov Models,"IEEESensors J., vol. 16, no. 4, pp. 1062–1068, 2 2016.

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