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Propagation Model Evaluation for LoRaWAN: Planning Tool Versus Real Case Scenario
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-1396-1006
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0002-8681-9572
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0001-8561-7963
Federal University of Rio Grande do Norte (UFRN). (GPPCOM)ORCID iD: 0000-0003-2859-6136
2019 (English)Conference paper, Published paper (Refereed)
Abstract [en]

LoRa has emerged as a prominent technology for the Internet of Things (IoT), with LoRa Wide Area Network (LoRaWAN) emerging as a suitable connection solution for smart things. The choice of the best location for the installation of gateways, as well as a robust network server configuration, are key to the deployment of a LoRaWAN. In this paper, we present an evaluation of Received Signal Strength Indication (RSSI) values collected from the real-life LoRaWAN deployed in Skellefteå, Sweden, when compared with the values calculated by a Radio Frequency (RF) planning tool for the Irregular Terrain Model (ITM), Irregular Terrain with Obstructions Model (ITWOM) and Okumura-Hata propagation models. Five sensors are configured and deployed along a wooden bridge, with different Spreading Factors (SFs), such as SF 7, 10 and 12. Our results show that the RSSI values calculated using the RF planning tool for ITWOM are closest to the values obtained from the real-life LoRaWAN. Moreover, we also show evidence that the choice of a propagation model in an RF planning tool has to be made with care, mainly due to the terrain conditions of the area where the network and the sensors are deployed.

Place, publisher, year, edition, pages
IEEE, 2019.
Keywords [en]
LoRa, LoRaWAN, IoT, propagation, ITM, ITMWO, Okumura-Hata, smart city.
National Category
Communication Systems
Research subject
Pervasive Mobile Computing
Identifiers
URN: urn:nbn:se:ltu:diva-76399DOI: 10.1109/WF-IoT.2019.8767299ISBN: 978-1-5386-4980-0 (electronic)OAI: oai:DiVA.org:ltu-76399DiVA, id: diva2:1361295
Conference
2019 IEEE 5th World Forum on Internet of Things (WF-IoT)
Available from: 2019-10-15 Created: 2019-10-15 Last updated: 2019-10-22

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Bezerra, Nibia SouzaÅhlund, ChristerSaguna, Saguna

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