Innovations in air pollution detection using mobile technologies and sensors

Abstract

Air pollution has become one of the most critical environmental and public health challenges worldwide, particularly in rapidly urbanizing regions. Recent advances in mobile technologies and sensor systems have enabled new approaches for real-time, low-cost, and large-scale air quality monitoring. This study reviews and analyzes recent innovations in air pollution detection based on mobile platforms and sensor technologies. Emphasis is placed on the integration of low-cost gas sensors, particulate matter sensors, Internet of Things (IoT) architectures, and mobile devices such as smartphones and portable monitoring units. The paper discusses data acquisition methods, sensor calibration challenges, wireless communication techniques, and the role of cloud-based data processing and visualization. Furthermore, the potential of mobile sensing systems to enhance spatial coverage, increase public awareness, and support smart city and environmental management applications is evaluated. The findings indicate that mobile and sensor-based air quality monitoring systems provide a promising alternative to traditional stationary monitoring stations, despite existing limitations related to accuracy, sensor drift, and environmental influences.