IoT-Enhanced Early Warning System for Forest Fire Detection

N. D. Parameswa Rao; Y.Chennaiah; P.Sri Kavya; M.Varun Kumar; S. Sri venkata yatish chandra

doi:10.55524/ijirem.2022.9.3.32

Abstract

Everyone is aware that the forest is regarded as one of the most important and necessary resources, and that forest fires pose a constant threat to biological systems and environmental factors. The necessity to detect forest fires as quickly as possible is urgent because the identification of forest fires has become a crucial issue in the pre-suppression phase. This literary work has made a strong case for the skilled use of wireless sensor networks as a plausible explanation for the cause of forest fires. To complete the solution process, the proposed system relies on a variety of sensors that are attached to it as well as data from wireless communication. A small satellite transmits these sensor data in the system to a ground station where they are examined. The data from wireless sensor reticulation used in the discourse plan is dependent on the earlier detection of forest fire.

Keywords

Data transmission, temperature and smoke sensors, wireless sensor networks, Internet of Things.

References

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Cites this article as

N. D. P. Rao, Y.Chennaiah, P. Kavya, M. Kumar, S. S. v. y. chandra, "IoT-Enhanced Early Warning System for Forest Fire Detection ", International Journal of Innovative Research in Engineering & Management (IJIREM), Vol-9, Issue-3, Page No-195-198, 2022. Available from: https://doi.org/10.55524/ijirem.2022.9.3.32

Corresponding Author

N. D. Parameswa Rao

Assistant Professor, Department of Electronics and Communication Engineering, PACE Institute of Technology and Sciences, Ongole, Andhra Pradesh, India.