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.
AuthorsDajnowski, N., Guest, A., Usman, A. B., Abba, A. and Sabuj, S. R.
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.

JournalInternational Journal of Computer Vision & Signal Processing
Journal citation14 (1), pp. 68-77
ISSN2186-1390
Year2024
PublisherInternational Journal of Computer Vision & Signal Processing
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Anyone
Web address (URL)https://cennser.org/IJCVSP/cvsp1401.html
Publication dates
Online25 Feb 2024
Publication process dates
Accepted20 Feb 2024
Deposited04 Mar 2025
Copyright holder© 2024, IJCVSP, CNSER
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