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
Main Authors: Bezerra, Nibia Souza, Åhlund, Christer, Saguna, Saguna, de Sousa Jr., Vicente A.
Format: Article in Journal/Newspaper
Language:English
Published: Luleå tekniska universitet, Datavetenskap 2019
Subjects:
ADR
IoT
LoRa
LoRaWAN
propagation model
smart city
Communication Systems
Kommunikationssystem
Media and Communication Technology
Medieteknik
Northern Sweden
Subarctic
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-76400
https://doi.org/10.3390/s19204414
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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. Validerad;2019;Nivå 2;2019-10-21 (johcin)

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