Research Area:  Internet of Things

Abstract:

Air quality is a pressing global concern, resulting in millions of premature deaths annually. Accurate monitoring is vital to assess pollutant levels against established standards. Real-time systems are crucial in addressing air pollution challenges. This study aims to create a cost-effective, energy-efficient real-time air quality monitoring system using LPWAN (LoRa and NB-IoT) and MQTT for data collection. Implementing LoRa, this work highlight the significance of the local environment on transmission stability, including obstacles, elevation, and distance. Despite these factors, LoRa remains functional up to 1.65 km. Comparatively, LoRa excels for diverse applications, while NB-IoT suits areas with limited network coverage.

Keywords:  

Author(s) Name:  Yu-Wei Chan, Endah Kristiani, Halim Fathoni, Chien-Yi Chen & Chao-Tung Yang

Publisher name:  Springer

DOI:  10.1007/s11227-023-05837-5

Volume Information:  Volume 80, pages 9961-9985, (2024)

Paper Link:   https://link.springer.com/article/10.1007/s11227-023-05837-5