Implementation of RSSI Generated Channel Probing for Air Quality Monitoring System Based on LoRaWAN

Air pollution is considered an important problem that happens in urban cities around the world. Air pollution is mostly caused by population explosion, economic growth, and industrial activities. Air pollution gives a huge contribution to the global warming issue. Therefore, Air quality monitoring is needed to monitor air pollution. With the PM2.5 and PM10 Particulate Matter parameters, air quality could be defined. In this research, an air quality monitoring system is developed with nodes consist of a Particulate Matter sensor to measure PM2.5 and PM10 parameters. Usage of LoRa has been considered since LoRa could cover a massive area with less energy used, in data rate performance as a major trade-off, but decent enough to transmit sensor-measured data from nodes to a gateway. This research also analyzes Pearson correlations generated from the RSSI value on LoRaWAN nodes and gateway with different Spreading Factor parameters and test locations. From tests that have been conducted, average Pearson correlations resulting from indoor measurements were about 0.2 and from outdoor measurements were around 0.3 to 0.4. The implementations of the 5-second interval between Pings are also quite effective in reducing the average error per delivery in outdoor testing up to half during Line-of-Sight positions.