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

被引：2

作者：

Chan, Yu-Wei ^{[1
]}

Kristiani, Endah ^{[2
,3
]}

Fathoni, Halim ^{[2
,5
]}

Chen, Chien-Yi ^{[2
]}

Yang, Chao-Tung ^{[2
,4
]}

机构：

[1] Providence Univ, Dept Comp Sci & Informat Management, Taichung, Taiwan

[2] Tunghai Univ, Dept Comp Sci, Taichung 407224, Taiwan

[3] Krida Wacana Christian Univ, Dept Informat, Jakarta 11470, Indonesia

[4] Tunghai Univ, Res Ctr Smart Sustainable Circular Econ, 1727,Sec4,Taiwan Blvd, Taichung 407224, Taiwan

[5] Politekn Negeri Lampung, Dept Ekon & Bisnis, Bandar Lampung 35144, Indonesia

来源：

JOURNAL OF SUPERCOMPUTING | 2024年 / 80卷 / 07期

关键词：

LPWAN; LoRa; NB-IoT; MQTT; Air quality; NB-IOT; LORA; CHALLENGES; DEVICE; SYSTEM;

D O I：

10.1007/s11227-023-05837-5

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：9961 / 9985

页数：25

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