IoT based Low Cost Distributed Air Quality Monitoring System for Big Data Collection

The resolution and accuracy of the data is a major challenge during data collection for air quality related research. In Malaysia, each monitoring station is located very far from each other causing the resolution of data to be considerably low. In this paper, we proposed a framework of Distributed Air Quality Monitoring System (DAQMS) which utilizes the full benefits of Internet of Things (IoT) for a better area coverage for data collection. We implemented the mobile hardware device by interfacing ESP32 microcontroller with multiple sensors at a much lower cost compared to the existing immobile air quality monitoring stations. The data are continuously being streamed to our cloud server and is ready to be queried for research purpose. Users can also view the latest air-quality indicators via the web-based dashboard application. Finally, we discussed on the future planning to further improve the data accuracy and user's experience. Our proposed framework does not only help in resolving the issue of data granularity but also helps in raising the awareness of air pollution among the general public.