IJCOPE Journal

UGC Logo DOI / ISO Logo

International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
Journal Information
ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 05

Published on: May 2026

DESIGN AND DEVELOPMENT OF FOREST FIRE MONITORING AND FIRE FIGHTING SYSTEM: A COMPREHENSIVE REVIEW

Mago Stalany V Sherlin Paul P S Deepak Davis Aniver Chanth R

Department of Fire Technology and Safety Engineering Noorul Islam Centre for Higher Education (Deemed-to-be University) Kumaracoil Thuckalay Kanniyakumari, Tamil Nadu India - 629 180.
DOI:https://doi.org/10.55041/ijcope.v2i4.1017

Article Status

Plagiarism Passed Peer Reviewed Open Access

Available Documents

Download PDF Review Report

Abstract

Forest fires are among the most destructive environmental hazards, causing severe ecological degradation, biodiversity loss, and economic damage across the globe. The increasing frequency and intensity of wildfires due to climate change and human activities have necessitated the development of advanced monitoring and firefighting systems. This review presents a detailed analysis of modern forest fire detection and suppression technologies, including Wireless Sensor Networks (WSNs), Internet of Things (IoT), satellite-based remote sensing, unmanned aerial vehicles (UAVs), and artificial intelligence (AI). The paper discusses system design, sensing mechanisms, communication technologies, and automated firefighting approaches. It further highlights challenges such as energy constraints, communication reliability, and false alarm reduction, and outlines future research directions for intelligent and autonomous fire management systems.

Keywords: Forest Fire Detection, Wireless Sensor Networks (WSN), Internet of Things (IoT), Artificial Intelligence in Fire Monitoring, and UAV-based Firefighting System.

How to Cite this Paper

V, M. S., S, S. P. P., Davis, D. & R, A. C. (2026). Design and Development of Forest Fire Monitoring and Fire Fighting System: A Comprehensive Review. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05). https://doi.org/10.55041/ijcope.v2i4.1017

V, Mago, et al.. "Design and Development of Forest Fire Monitoring and Fire Fighting System: A Comprehensive Review." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.1017.

V, Mago,Sherlin S,Deepak Davis, and Aniver R. "Design and Development of Forest Fire Monitoring and Fire Fighting System: A Comprehensive Review." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.1017.

Search & Index

Google Scholar Crossref DOI ResearchGate

References


  1. Bowman, D. M. J. S., et al. (2020). Vegetation fires in the Anthropocene. Nature Reviews Earth & Environment, 1(10), 500–515.

  2. Dampage, U., et al. (2022). Forest fire detection using wireless sensor networks and machine learning. Scientific Reports, 12, 46.

  3. FAO (2022). Global Forest Resources Assessment Report. Food and Agriculture Organization.

  4. Forest Survey of India (2023). India State of Forest Report.

  5. Chuvieco, E. (2016). Fundamentals of Satellite Remote Sensing. CRC Press.

  6. Jain, P., et al. (2020). A review of machine learning applications in wildfire science. Remote Sensing, 12(20), 3413.

  7. Xu, Y. H., et al. (2018). Environment-aware WSN for forest fire detection. Future Internet, 10(10), 102.

  8. Hartung, C., et al. (2006). FireWxNet: A multi-tiered portable wireless system.

  9. Miriyala, T. B., et al. (2018). IoT-based forest fire detection system.

  10. Sairi, A., et al. (2023). IoT-enabled WSN for early forest fire detection.

Ethical Compliance & Review Process

  • •All submissions are screened under plagiarism detection.
  • •Review follows editorial policy.
  • •Authors retain copyright.
  • •Peer Review Type: Double-Blind Peer Review
  • •Published on: May 02 2026
CCBYNC

This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.

View License
Back to Volume 02, Issue 05View All Issues Next Article

← Previous Article

Design and development of an innovative Rainwater Greywater Filter

Next Article →

Design and Development of Web-Based Customized T-Shirt Ordering System
Scroll to Top