Temperature Impact in LoRaWAN-A Case Study in Northern Sweden

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 a...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2019-10, Vol.19 (20), p.4414
Main Authors: Bezerra, Níbia Souza, Åhlund, Christer, Saguna, Saguna, de Sousa, Jr, Vicente A
Format: Article
Language:English
Subjects:
ADR
Cold weather
Communication
Distribuerade datorsystem
Investigations
IoT
LoRa
LoRaWAN
Pervasive Mobile Computing
Propagation
propagation model
Sensors
smart city
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Summary: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.
ISSN:1424-8220
1424-8220
DOI:10.3390/s19204414