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@article{197997,
        author = {Nayan Satarkar and Samruddhi J. Randhir and Mahendra Kondekar and Dr. Shashibala Rao},
        title = {Real-Time IoT Pollution Monitoring System: A Case Study of Delhi},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {6927-6931},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=197997},
        abstract = {Metropolitan cities like Delhi face severe environmental degradation due to rapid urbanization and vehicular density. Traditional monitoring stations are often sparse and provide delayed, macro-level data. This paper proposes a low-cost, integrated Internet of Things (IoT) solution to monitor Air Quality Index (AQI), noise pollution, and traffic density in real time. Utilizing an Arduino-based architecture with MQ-135, DHT11, and ultrasonic sensors, the system transmits data via ESP8266 to cloud platforms for live visualization. Historical data analysis (2015–2024) reveals significant seasonal variations and a high correlation between traffic activity and pollutant levels. The study concludes that decentralized IoT networks are essential for high-resolution urban environmental surveillance.},
        keywords = {Air Quality Index (AQI), Internet of Things (IoT), PM 2.5 Analysis, Real-Time Data Acquisition, Smart Cities, Urban Pollution Monitoring},
        month = {April},
        }