SMART IOT BASED AIR QUALITY MONITORING SYSTEMS FOR SMART CITIES: DESIGNS ISSUES, IMPLEMENTATION, ANALYTICS, AND CHALLENGES

Abstract

Air pollution has become a major global problem, with severe adverse effects on humans and their environment. Given this alarming situation, a system that allows both urban and rural populations to monitor air quality so that they can take the necessary precautions and measures. Such systems that maintain healthy environmental conditions must be designed and implemented. Toxic gas and fine dust that dissolve in the air greatly contribute to this pollution. With the availability of intelligent internet-based sensor systems that can record, analyze and predict air quality, we can develop them. Intelligent IoT-based air pollution monitoring systems(APMS) have proven to be a future solution. Many researchers have proposed several IoT-based solutions for air pollution monitoring systems. This paper focuses on understanding the various environment variables, pollutants, and components of existing intelligent IOT-based APMS. The study also has the vision of focusing on a comparative analysis of available systems and providing an overview of the relevance of pollution control systems in smart urban environments. This article also provides a comprehensive overview of the different classes of sensors, microcontrollers, and required communication technologies. This overview paper provides a general architecture for intelligent APMS and discusses various parameters in more detail. This article summarizes the challenges and open research areas. This review paper concludes with an analysis and recommendations to make Intelligent APMS reliable, efficient, and cost-effective.