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Measurements of LoRaWAN Technology in Urban Scenarios: A Data Descriptor

Author

Listed:
  • Pavel Masek

    (Department of Telecommunications, Brno University of Technology, 616 00 Brno, Czech Republic)

  • Martin Stusek

    (Department of Telecommunications, Brno University of Technology, 616 00 Brno, Czech Republic
    Unit of Electrical Engineering, Tampere University, 33720 Tampere, Finland)

  • Ekaterina Svertoka

    (Department of Telecommunications, Brno University of Technology, 616 00 Brno, Czech Republic
    Department of Telecommunications, University Politehnica of Bucharest, 061071 Bucharest, Romania)

  • Jan Pospisil

    (Department of Telecommunications, Brno University of Technology, 616 00 Brno, Czech Republic)

  • Radim Burget

    (Department of Telecommunications, Brno University of Technology, 616 00 Brno, Czech Republic)

  • Elena Simona Lohan

    (Unit of Electrical Engineering, Tampere University, 33720 Tampere, Finland)

  • Ion Marghescu

    (Department of Telecommunications, University Politehnica of Bucharest, 061071 Bucharest, Romania)

  • Jiri Hosek

    (Department of Telecommunications, Brno University of Technology, 616 00 Brno, Czech Republic)

  • Aleksandr Ometov

    (Unit of Electrical Engineering, Tampere University, 33720 Tampere, Finland)

Abstract

This work is a data descriptor paper for measurements related to various operational aspects of LoRaWAN communication technology collected in Brno, Czech Republic. This paper also provides data characterizing the long-term behavior of the LoRaWAN channel collected during the two-month measurement campaign. It covers two measurement locations, one at the university premises, and the second situated near the city center. The dataset’s primary goal is to provide the researchers lacking LoRaWAN devices with an opportunity to compare and analyze the information obtained from 303 different outdoor test locations transmitting to up to 20 gateways operating in the 868 MHz band in a varying metropolitan landscape. To collect the data, we developed a prototype equipped with a Microchip RN2483 Low-Power Wide-Area Network (LPWAN) LoRaWAN technology transceiver module for the field measurements. As an example of data utilization, we showed the Signal-to-noise Ratio (SNR) and Received Signal Strength Indicator (RSSI) in relation to the closest gateway distance.

Suggested Citation

  • Pavel Masek & Martin Stusek & Ekaterina Svertoka & Jan Pospisil & Radim Burget & Elena Simona Lohan & Ion Marghescu & Jiri Hosek & Aleksandr Ometov, 2021. "Measurements of LoRaWAN Technology in Urban Scenarios: A Data Descriptor," Data, MDPI, vol. 6(6), pages 1-20, June.
    • Handle: RePEc:gam:jdataj:v:6:y:2021:i:6:p:62-:d:572666
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    References listed on IDEAS

    as
    1. Mehmet Ali Ertürk & Muhammed Ali Aydın & Muhammet Talha Büyükakkaşlar & Hayrettin Evirgen, 2019. "A Survey on LoRaWAN Architecture, Protocol and Technologies," Future Internet, MDPI, vol. 11(10), pages 1-34, October.
    2. Michiel Aernouts & Rafael Berkvens & Koen Van Vlaenderen & Maarten Weyn, 2018. "Sigfox and LoRaWAN Datasets for Fingerprint Localization in Large Urban and Rural Areas," Data, MDPI, vol. 3(2), pages 1-15, April.
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    Cited by:

    1. Mauricio González-Palacio & Diana Tobón-Vallejo & Lina M. Sepúlveda-Cano & Santiago Rúa & Giovanni Pau & Long Bao Le, 2022. "LoRaWAN Path Loss Measurements in an Urban Scenario including Environmental Effects," Data, MDPI, vol. 8(1), pages 1-22, December.
    2. Aleksandr Ometov & Joaquín Torres-Sospedra, 2022. "Measurements of User and Sensor Data from the Internet of Things (IoT) Devices," Data, MDPI, vol. 7(5), pages 1-3, April.
    3. Evangelos Syrmos & Vasileios Sidiropoulos & Dimitrios Bechtsis & Fotis Stergiopoulos & Eirini Aivazidou & Dimitris Vrakas & Prodromos Vezinias & Ioannis Vlahavas, 2023. "An Intelligent Modular Water Monitoring IoT System for Real-Time Quantitative and Qualitative Measurements," Sustainability, MDPI, vol. 15(3), pages 1-20, January.

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