LORAWAN-ASSISTED REAL-TIME AIR QUALITY SURVEILLANCE FOR SMART CITIES

Abstract

Air pollution has become a critical challenge in urban environments due to rapid industrialization, vehicular emissions, and population growth. Traditional air quality monitoring systems rely on centralized, high-cost infrastructure that lacks scalability and real-time adaptability. This paper presents a LoRaWAN-assisted real-time air quality surveillance framework for smart cities. Leveraging the lowpower, long-range communication capabilities of LoRa, the proposed system enables cost-effective and energy-efficient monitoring of pollutants such as CO₂, PM₂.₅, PM₁₀, NO₂, and O₃. The architecture integrates distributed sensor nodes, a LoRa gateway, and a cloud-based data analytics platform to provide continuous monitoring, real-time alerts, and predictive insights. The proposed framework offers scalability for large-scale deployment in urban areas while ensuring low latency and extended sensor lifetime. Experimental results demonstrate improved reliability, reduced energy consumption, and enhanced data accuracy compared to traditional wireless systems, making it a promising solution for smart city environmental management.