A Low-cost IoT-based Meteorological System Using LoRaWAN and Embedded Technologies: Architecture and Future Trends
Article
Dajnowski, N., Guest, A., Usman, A. B., Abba, A. and Sabuj, S. R. 2024. A Low-cost IoT-based Meteorological System Using LoRaWAN and Embedded Technologies: Architecture and Future Trends. International Journal of Computer Vision & Signal Processing. 14 (1), pp. 68-77.
Authors | Dajnowski, N., Guest, A., Usman, A. B., Abba, A. and Sabuj, S. R. |
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Abstract | The field of meteorological station development is undergoing continuous advancements, driven by the pursuit of more precise data acquisition while also maintaining cost-effectiveness. To achieve this objective, governments and businesses are increasingly harnessing Internet of Things (IoT) platforms to deploy hyperlocal and highly sophisticated meteorological stations. These stations are designed to offer real-time analysis of weather conditions and forecasts with unparalleled precision. In this study, we have designed and implemented a robust yet affordable meteorological system capable of collecting various weather parameters. This system is integrated with a low-cost, long-range data transmission technology, enabling multiple nodes to access the internet through the LoRaWAN network server. Additionally, we have developed a user-friendly graphical user interface (GUI) application for visualizing meteorological data. Our proposed solution demonstrated impressive capabilities. The system consistently recorded and transmitted essential meteorological parameters, such as temperature, humidity, pressure, and wind speed, with high accuracy and reliability. Additionally, our GUI application facilitated user-friendly access to this data, offering clear visual representations of weather conditions and station performance. |
Journal | International Journal of Computer Vision & Signal Processing |
Journal citation | 14 (1), pp. 68-77 |
ISSN | 2186-1390 |
Year | 2024 |
Publisher | International Journal of Computer Vision & Signal Processing |
Publisher's version | License File Access Level Anyone |
Web address (URL) | https://cennser.org/IJCVSP/cvsp1401.html |
Publication dates | |
Online | 25 Feb 2024 |
Publication process dates | |
Accepted | 20 Feb 2024 |
Deposited | 04 Mar 2025 |
Copyright holder | © 2024, IJCVSP, CNSER |
https://repository.uel.ac.uk/item/8z1y5
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