| Title |
Temperature Impact in LoRaWAN-A Case Study in Northern Sweden |
| ID_Doc |
43524 |
| Authors |
Bezerra, NS; Åhlund, C; Saguna, S; de Sousa, VA |
| Title |
Temperature Impact in LoRaWAN-A Case Study in Northern Sweden |
| Year |
2019 |
| Published |
Sensors, 19, 20 |
| DOI |
10.3390/s19204414 |
| Abstract |
LoRa Wide Area Network (LoRaWAN) has become popular as an Internet of Things (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 Skelleftea, we have deployed a LoRaWAN to enable IoT applications to assist the lives of citizens. As Skelleftea 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 Signal-to-Noise Ratio (SNR), Received Signal Strength Indication (RSSI) and the use of Spreading Factors (SFs) when Adaptive Data Rate (ADR) is enabled. Additionally, we evaluate two propagation models (Okumura-Hata and Irregular Terrain Model (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. |
| Author Keywords |
ADR; IoT; LoRa; LoRaWAN; propagation model; smart city |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000497864700062 |
| WoS Category |
Chemistry, Analytical; Engineering, Electrical & Electronic; Instruments & Instrumentation |
| Research Area |
Chemistry; Engineering; Instruments & Instrumentation |
| PDF |
https://www.mdpi.com/1424-8220/19/20/4414/pdf?version=1571050364
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