Name
Title | ||
|---|---|---|
Correlation between weather and signal strength in LoRaWAN networks: An extensive dataset |
Abstract | ||
|---|---|---|
Recent literature has investigated the impact of the weather environmental parameters - humidity, temperature, atmospheric pressure and rain - on LoRaWAN receivers. However, LoRa research community still lacks a large dataset containing both received signal strength indicator (RSSI) and weather parameters that can provide useful real data for experimental evaluation of their relationship. In this paper, we publicly share more than 190,000 records of RSSI, signal to noise ratio (SNR), global positioning system (GPS) information, along with temperature, humidity and pressure data obtained over a period of 85 days from LoRaWAN nodes and a weather station located in a 12 km(2) area. The dataset could be reused for finding the correlation between RSSI and weather conditions supported by real data, as well as inferring meteorological parameter, and even weather forecasting. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.comnet.2021.108627 | COMPUTER NETWORKS |
Keywords | DocType | Volume |
LoRaWAN network, RSSI, IoT, Radio channel | Journal | 202 |
ISSN | Citations | PageRank |
1389-1286 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Emanuele Goldoni | 1 | 0 | 0.34 |
| Pietro Savazzi | 2 | 83 | 16.09 |
| Lorenzo Favalli | 3 | 0 | 0.34 |
| Anna Vizziello | 4 | 2 | 1.04 |