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Open AccessArticle

Temperature Impact in LoRaWAN—A Case Study in Northern Sweden

1
Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, 93187 Skellefteå, Sweden
2
Communication Engineering Department (DCO), Federal University of Rio Grande do Norte (UFRN), 59078-970 Natal, Rio Grande do Norte, Brazil
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(20), 4414; https://doi.org/10.3390/s19204414
Received: 5 September 2019 / Revised: 26 September 2019 / Accepted: 8 October 2019 / Published: 12 October 2019
(This article belongs to the Special Issue Intelligent Sensors for Smart City)
LoRaWAN has become popular as an IoT enabler. The low cost, ease of installation and the capacity of fine-tuning the parameters make this network a suitable candidate for the deployment of smart cities. In northern Sweden, in the smart region of Skellefteå, we have deployed a LoRaWAN to enable IoT applications to assist the lives of citizens. As Skellefteå has a subarctic climate, we investigate how the extreme changes in the weather happening during a year affect a real LoRaWAN deployment in terms of SNR, RSSI and the use of SF when ADR is enabled. Additionally, we evaluate two propagation models (Okumura-Hata and ITM) and verify if any of those models fit the measurements obtained from our real-life network. Our results regarding the weather impact show that cold weather improves the SNR while warm weather makes the sensors select lower SFs, to minimize the time-on-air. Regarding the tested propagation models, Okumura-Hata has the best fit to our data, while ITM tends to overestimate the RSSI values. View Full-Text
Keywords: ADR; IoT; LoRa; LoRaWAN; propagation model; smart city ADR; IoT; LoRa; LoRaWAN; propagation model; smart city
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MDPI and ACS Style

Souza Bezerra, N.; Åhlund, C.; Saguna, S.; de Sousa, V.A., Jr. Temperature Impact in LoRaWAN—A Case Study in Northern Sweden. Sensors 2019, 19, 4414.

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