Location Aware Fog Computing Based Air Quality Monitoring System

Abstract

Studies on the Internet of Things have contributed to the development of air quality monitoring applications within the smart city paradigm. Furthermore, fog computing helps eliminate the data density bottleneck that may arise as smart city applications evolve. In this study, a fog computing-based, location-aware air quality monitoring system has been proposed, and its performance was evaluated through preliminary tests using real data. The proposed system is compared with a centralized cloud-based application scenario. The results indicate that the proposed system can serve up to 960 clients in the presence of 120 air quality monitoring stations in the established test environment. Additionally, the study revealed that the proposed model outperforms the cloud-based model in terms of latency and service load stability characteristics.