American International Journal of Research and Innovation

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Air-Quality Monitoring through Internet of Things Sensor Networks

Author(s) Prof. Dr. Andy Blanco Rodriguez
Country United States
Abstract Increasing air pollution levels caused by industrial activities, transportation emissions, urban expansion, and energy consumption have created significant challenges for environmental monitoring and public health protection. Traditional air-quality monitoring systems often involve expensive infrastructure, limited spatial coverage, and delayed data availability. Internet of Things (IoT)-based sensor networks have emerged as an advanced solution by enabling real-time, distributed, and cost-effective air-quality monitoring.
This study examines air-quality monitoring through Internet of Things sensor networks by analysing sensor technologies, data communication systems, real-time environmental monitoring approaches, and intelligent data processing methods. The research explores how IoT-enabled monitoring systems contribute to accurate pollution assessment, early warning mechanisms, and sustainable urban environmental management.
The study adopts a conceptual analytical framework based on IoT architecture, environmental monitoring research, smart city applications, and data-driven air-quality management approaches. The findings indicate that IoT sensor networks improve monitoring efficiency through continuous data collection, improved spatial coverage, remote accessibility, and real-time pollution analysis. However, challenges related to sensor accuracy, data security, network reliability, maintenance requirements, and calibration issues influence large-scale implementation.
The study concludes that IoT-based air-quality monitoring systems provide an effective pathway for developing intelligent environmental management frameworks. Integrating advanced sensors, artificial intelligence-based analytics, cloud computing, and sustainable urban planning can strengthen pollution control strategies and improve public health outcomes.
Keywords Internet of Things, Air Quality Monitoring, Sensor Networks, Smart Cities, Environmental Monitoring, Real-Time Data, Air Pollution Management
Field Engineering
Published In Volume 4, Issue 4, July-August 2022
Published On 2022-08-30
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