This paper presents an IoT-based system for real-time air pollution monitoring and secure data transmission. The system addresses the global issue of air pollution, which is a significant environmental health risk, causing various health problems. The proposed system consists of four layers: data collection, end devices, central server, and communication. Autonomous vehicles equipped with air pollution sensors and high-performance computing servers collect and process air quality data, which is then sent to a central server for processing and distribution to users. The communication layer uses the MQTT protocol for secure and reliable data transmission, and the Amelia protocol for additional security. The system also includes a security analysis to ensure the integrity and confidentiality of data. The results of the system's operation are presented, showing the effectiveness of the proposed methods in monitoring air quality and providing real-time data to users. The main limitation of the system is the lack of fully autonomous vehicles, which could further enhance its automation and reliability. Future work will focus on developing a user-friendly interface and improving the system's autonomy.This paper presents an IoT-based system for real-time air pollution monitoring and secure data transmission. The system addresses the global issue of air pollution, which is a significant environmental health risk, causing various health problems. The proposed system consists of four layers: data collection, end devices, central server, and communication. Autonomous vehicles equipped with air pollution sensors and high-performance computing servers collect and process air quality data, which is then sent to a central server for processing and distribution to users. The communication layer uses the MQTT protocol for secure and reliable data transmission, and the Amelia protocol for additional security. The system also includes a security analysis to ensure the integrity and confidentiality of data. The results of the system's operation are presented, showing the effectiveness of the proposed methods in monitoring air quality and providing real-time data to users. The main limitation of the system is the lack of fully autonomous vehicles, which could further enhance its automation and reliability. Future work will focus on developing a user-friendly interface and improving the system's autonomy.