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@article{193530,
        author = {Dr.K.Renganathan and Siva Prasad S and Sanjai B and Abinaya M},
        title = {Solar-Powered Intelligent Multi-Gas Air Quality Monitoring and Automated Ventilation Framework Based on Multi-Sensor Data Fusion and Real-Time IoT Alerts},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {359-366},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=193530},
        abstract = {This paper presents an innovative solar powered automated ventilating system and multi-gas air quality surveillance system to continuously monitor the environment. The system has many sensors constantly measuring the concentration of ammonia, carbon monoxide, methane, temperature, humidity, and volatile organic compounds. Through the start of automated ventilation and local alarms and supporting the early detection of hazardous conditions, a threshold-based decision system mitigates gas build-up. The system incorporates a cellular communication channel as opposed to a network since the cellular communication is more reliable during network outrages. The data and alert messages monitored are distributed through the use of IoT. The results of the experiment prove the reliability of sensors in terms of continuous operation, low energy consumption, and timely reaction to alerts. It offers a reliable, scalable and energy efficient approach to indoor air quality monitoring to apply in homes, workplaces and in intelligent environments.},
        keywords = {Air Quality Monitoring, Automated Ventilation, Energy-Efficient Embedded Systems, Environmental Monitoring, Hybrid Communication, Internet of Things (IoT), Multi-Gas Sensing, Solar-Powered Systems.},
        month = {March},
        }