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Research Article | Open Access |

Forest Fire Detection System using LoRa Technology

Author 1: Nicoleta Cristina GAITAN Author 2: Paula HOJBOTA
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 11, No. 5 · Published 2020 · Cited by 32

DOI: https://doi.org/10.14569/IJACSA.2020.0110503

Abstract

Millions of hectares of forest worldwide are affected annually by fires, which can lead to the loss of human lives, materials, destruction of natural flora and fauna but also can lead to the losses of raw materials. The problem is even greater in forests that are not guarded and do not have communication systems available. Thus, in recent years, have been proposed various systems that use devices based on Internet of Things (IoT) for real-time forest fire detection. In this paper, it is proposed a system capable of quickly detecting forest fires on long wide distance. In the development of this system it is used LoRa (Long Range) technology based on LoRaWAN (Long Range Wide Area Network) protocol which is capable to connect low power devices distributed on large geographical areas being an innovative and great solution for transmissions of a low data transfer rate and a low transmission power on high ranges, and because has a great efficiency.

Keywords

How to Cite this Article

GAITAN, N. C., & HOJBOTA, P. (2020). Forest Fire Detection System using LoRa Technology. International Journal of Advanced Computer Science and Applications, 11(5). https://doi.org/10.14569/IJACSA.2020.0110503

GAITAN, Nicoleta Cristina, and Paula HOJBOTA. "Forest Fire Detection System using LoRa Technology." International Journal of Advanced Computer Science and Applications, vol. 11, no. 5, 2020, https://doi.org/10.14569/IJACSA.2020.0110503.

@article{GAITAN2020,
  title     = {Forest Fire Detection System using LoRa Technology},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {11},
  number    = {5},
  year      = {2020},
  publisher = {The Science and Information Organization},
  author    = {Nicoleta Cristina GAITAN and Paula HOJBOTA},
  doi       = {10.14569/IJACSA.2020.0110503},
  url       = {https://doi.org/10.14569/IJACSA.2020.0110503}
}

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