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

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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.

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Availability of data and materials

The datasets generated during and/or analyzed during the current study are available from the corresponding author upon reasonable request.

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Funding

This work was sponsored by the National Science and Technology Council (NSTC), Taiwan, under Grant No. 112-2622-E-029-003, 112-2621-M-029-004, 112-2221-E-126-004-, 110-2221-E-029-002-MY3, 110-2221-E-126-004 and 110-2622-E-029-003.

Author information

Authors and Affiliations

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

    Yu-Wei Chan

  2. Department of Computer Science, Tunghai University, Taichung City, 407224, Taiwan

    Endah Kristiani, Halim Fathoni, Chien-Yi Chen & Chao-Tung Yang

  3. Department of Informatics, Krida Wacana Christian University, Jakarta, 11470, Indonesia

    Endah Kristiani

  4. Research Center for Smart Sustainable Circular Economy, Tunghai University, No. 1727, Sec.4, Taiwan Boulevard, Taichung City, 407224, Taiwan

    Chao-Tung Yang

  5. Department Ekonomi dan Bisnis, Politeknik Negeri Lampung, Bandar Lampung, 35144, Indonesia

    Halim Fathoni

Authors
  1. Yu-Wei Chan
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  2. Endah Kristiani
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  4. Chien-Yi Chen
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Correspondence to Chao-Tung Yang.

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Chan, YW., Kristiani, E., Fathoni, H. et al. A smart edge computing infrastructure for air quality monitoring using LPWAN and MQTT technologies. J Supercomput 80, 9961–9985 (2024). https://doi.org/10.1007/s11227-023-05837-5

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