“AIR POLLUTION DETECTION USING IOT ”

Abstract: Air pollution has become a critical global challenge, demanding continuous and accurate monitoring to support timely mitigation efforts. This paper presents an Internet of Things (IoT)–based air pollution detection system designed to provide real-time assessment of key atmospheric pollutants. The proposed framework integrates low-cost environmental sensors with a microcontroller and wireless communication modules to measure parameters such as particulate matter, carbon monoxide, nitrogen dioxide, temperature, and humidity. Sensor data are transmitted to a cloud platform for storage, visualization, and analysis, enabling remote access through a web or mobile interface. Intelligent data processing techniques are employed to identify abnormal pollution patterns and trigger alerts. The system emphasizes energy efficiency, scalability, and ease of deployment, making it suitable for urban, industrial, and residential environments. Experimental results demonstrate reliable performance and show that IoT-based monitoring can deliver high- resolution environmental insights at a significantly lower cost compared to conventional monitoring stations. The study concludes that the proposed solution can support smart-city infrastructures and inform public health and policy decisions through continuous, real-time air quality surveillance.

Keywords: Internet of Things (IoT),Air Quality Monitoring,Pollution Detection, Smart Environment,GasSensor,MQ135 Sensor,MQ2 Sensor,Arduino Uno,NodeMCU,ESP8266,Environmental Monitoring,Real-Time Monitoring,Wireless Sensor Network,Smart City,Temperature and Humidity Sensor,Cloud Computing, Air Pollution Control,Embedded System,Data Analytics,IoT-Based Monitoring System.