A smart edge computing infrastructure for air quality monitoring using LPWAN and MQTT technologies


연구 분야: Safety



학회: The Journal of Supercomputing


초록

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.


Author Profile
Yu-Wei Chan

Department of Computer Science and Information Management Providence University Taichung City Taiwan

Andorra
Author Profile
Endah Kristiani

Department of Computer Science Tunghai University Taichung City 407224 Taiwan

Taiwan
Author Profile
Halim Fathoni

Department of Informatics Krida Wacana Christian University Jakarta 11470 Indonesia

Indonesia

📄 논문 정보

발행 연도 2023년
인용수 0
출판 국가 Taiwan, Andorra, Indonesia
사이트 Springer
좋아요 수 0

연관 논문 목록 (14건)