i-manager Publications

Implementation of IoT Based Forest Fire Detection and Prevention System

Guntupalli Gangaprasad*

Vignan's Foundation for Science, Technology and Research, Guntur, India.

Periodicity:July - December'2023

Abstract

This paper presents an implementation of Internet of Things (IoT)-based forest fire detection and prevention system. Forest fires are the most prevalent threat to forests and are toxic to forest resources and biodiversity. To avoid forest fires, early detection and prevention are crucial. An automated advance detection and prevention system for remote fire and weather-severe monitoring of culturally important areas is being suggested using various sensors. If a fire is detected, the control station receives sensor data. To activate the system, sensors detect smoke or fire, and the control center watches them, if a critical scenario occurs, drones are triggered. The proposed system employs various components, such as a Raspberry Pi 3 B, an Atmega328p microcontroller, a flame detection sensor, etc. These components are integrated into a two-part system, such as fire detection and fire prevention. The fire detection phase uses sensors to capture environmental data, triggering alerts at a central station. The fire prevention phase involves the deployment of drones to extinguish detected fires. The results show successful flame and smoke detection at Node 1, synchronization of data values between nodes, and the activation and progress of a drone towards the fire hotspot.

Keywords

Biodiversity, Fire Detection, Fire Prevention, Control Station, Firefighting, Hazard, Hotspot, Sensors.

How to Cite this Article?

Gangaprasad, G. (2023). Implementation of IoT Based Forest Fire Detection and Prevention System. i-manager’s Journal on IoT and Smart Automation, 1(2), 23-33.

References

[1]. Dampage, U., Bandaranayake, L., Wanasinghe, R., Kottahachchi, K., & Jayasanka, B. (2022). Forest fire detection system using wireless sensor networks and machine learning. Scientific Reports, 12(1), 46.

[2]. Liu, Y., Liu, Y., Xu, H., & Teo, K. L. (2018, June). Forest fire monitoring, detection and decision making systems by wireless sensor network. In 2018 Chinese Control and Decision Conference (CCDC) (pp. 5482-5486). IEEE.

[3]. Kadir, E. A., Rosa, S. L., & Yulianti, A. (2018, October). Application of WSNs for detection land and forest fire in Riau Province Indonesia. In 2018 International Conference on Electrical Engineering and Computer Science (ICECOS) (pp. 25-28). IEEE.

[4]. Abdullah, S., Bertalan, S., Masar, S., Coskun, A., & Kale, I. (2017, July). A wireless sensor network for early forest fire detection and monitoring as a decision factor in the context of a complex integrated emergency response system. In 2017 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) (pp. 1-5). IEEE.

[5]. Molina-Pico, A., Cuesta-Frau, D., Araujo, A., Alejandre, J., & Rozas, A. (2016). Forest monitoring and wildland early fire detection by a hierarchical wireless sensor network. Journal of Sensors, 2016, 1-8.

[6]. Alkhatib, A. A. (2014). A review on forest fire detection techniques. International Journal of Distributed Sensor Networks, 10(3), 597368.

[7]. Alkhatib, A. A. (2013). Wireless sensor network for forest fire detection and decision making. International Journal of Advances in Engineering Science and Technology, 2(3), 299-309.

[8]. Matin, M. A., & Islam, M. M. (2012). Overview of Wireless Sensor Network: Wireless Sensor Networks- Technology and Protocols. IntechOpen.

[9]. Liu, Y., Gu, Y., Chen, G., Ji, Y., & Li, J. (2011, December). A novel accurate forest fire detection system using wireless sensor networks. In 2011 Seventh International Conference on Mobile Ad-hoc and Sensor Networks (pp. 52-59). IEEE.

[10]. Bayo, A., Antolín, D., Medrano, N., Calvo, B., & Celma, S. (2010). Early detection and monitoring of forest fire with a wireless sensor network system. Procedia Engineering, 5, 248-251.

[11]. Doolin, D. M., & Sitar, N. (2005, May). Wireless sensors for wildfire monitoring. In Smart Structures and Materials 2005: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, 5765, 477-484). SPIE.

[12]. Garcia, M., Bri, D., Lloret, J., & Lorenz, P. (2012). Collaborating using intergroup communications in group-based wireless sensor networks: Another way for saving energy. International Conference on Cooperative Design, Visualization and Engineering, 9, 85-93. Springer Berlin Heidelberg.

[13]. Wenning, B. L., Pesch, D., Timm-Giel, A., & Görg, C. (2010). Environmental monitoring aware routing: Making environmental sensor networks more robust. Telecommunication Systems, 43, 3-11.

If you have access to this article please login to view the article or kindly login to purchase the article

Single Article

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Online	15	15

ADD TO CART

Options for accessing this content:

If you would like institutional access to this content, please recommend the title to your librarian.
If you already have i-manager's user account: Login above and proceed to purchase the article.
New Users: Please register, then proceed to purchase the article.