Monitoring Pollution in Smart Cities Based on Arduino and IoT

Abstract

This study offerings an innovative solution for checking pollution in smart cities using the Internet of Things (IoT) and Arduino-based sensors. As urban areas face increasing air pollution levels, the need for effective monitoring systems becomes necessary. This paper focuses on creating a scalable, secure IoT architecture to collect, analyze, and manage air quality data in real-time. The system utilizes MQTT for secure data transmission, and machine learning algorithms for predictive analysis. A model is developed using Arduino sensors to measure carbon dioxide, butane gas, temperature, and humidity. The outcomes indicate the system’s ability to effectively monitor pollution, notify users through mobile applications, and provide actionable insights for pollution management. Future work will improve the system’s abilities, including expanded scalability and additional environmental parameters.