Temperature Impact in LoRaWAN

A Case Study in Northern Sweden

Document identifier: oai:DiVA.org:ltu-76400
Access full text here:10.3390/s19204414
Keyword: Engineering and Technology, Medieteknik, Pervasive Mobile Computing, Smart city, Propagation model, LoRaWAN, LoRa, IoT, ADR, Data- och informationsvetenskap, Electrical Engineering, Electronic Engineering, Information Engineering, Naturvetenskap, Media and Communication Technology, Computer and Information Sciences, Natural Sciences, Kommunikationssystem, Elektroteknik och elektronik, Teknik och teknologier, Communication Systems, Distribuerade datorsystem
Publication year: 2019
Relevant Sustainable Development Goals (SDGs):
SDG 9 Industry, innovation and infrastructure
The SDG label(s) above have been assigned by OSDG.ai


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.


Nibia Souza Bezerra

Luleå tekniska universitet; Datavetenskap
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Christer Åhlund

Luleå tekniska universitet; Datavetenskap
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Saguna Saguna

Luleå tekniska universitet; Datavetenskap
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Vicente A. de Sousa Jr.

Federal University of Rio Grande do Norte (UFRN)
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