Temperature Impact in LoRaWAN-A Case Study in Northern Sweden

被引：24
作者：
Bezerra, Nibia Souza [1 ]
Ahlund, Christer [1 ]
Saguna, Saguna [1 ]
de Sousa, Vicente A., Jr. [2 ]
机构：
[1] Lulea Univ Technol, Dept Comp Sci Elect & Space Engn, S-93187 Skelleftea, Sweden
[2] Fed Univ Rio Grande Norte UFRN, Commun Engn Dept DCO, BR-59078970 Natal, RN, Brazil
来源：
SENSORS | 2019年 / 19卷 / 20期
关键词：
ADR; IoT; LoRa; LoRaWAN; propagation model; smart city;
D O I：
10.3390/s19204414
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
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.
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页数：30
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