Air Quality Monitoring System: Towards IoT based system for Air Pollutant Concentration Prediction

Developing an accurate and smart air quality monitoring system has gained enormous importance as it seeks to fulfill user needs by providing the most various changes related to the conditions of the air quality. Hence, researchers have contributed to different techniques and strategies as a challenge, especially here in the Sultanate of Oman. Therefore, this study aims to propose new smart monitoring and early warning systems, which will be having a significant impact on the nature of the air quality of the indoor environment. The proposed system has a unique feature in which IoT technology embedded in its architecture. Additionally, the captured data will be transmitted via Wi-Fi technology to the suggested Internet of Things module. Moreover, this study is seeking to establish a friendly and affordable system for predicting the pollutant level that occurred in the atmosphere. The obtained results give excellent performance in terms of measuring indoor air parameters and might represent a significant impact on indoor environments study.