Paper Title
Integrated System of Wireless Sensor Networks and Machine Learning for Early Forest Fire Detection and Control
Article Identifiers
: Keywords
Forest Fires, Wireless Sensor Networks, Machine Learning, Early Detection, Rechargeable Batteries, Solar Power, Sensor Node Design.
Abstract
Forest fires represent a critical threat to both natural ecosystems and human populations, necessitating effective early detection and mitigation measures. This paper presents a comprehensive approach that combines wireless sensor networks (WSNs) and machine learning to improve forest fire detection systems. By deploying sensor nodes strategically throughout forests to monitor key environmental variables such as temperature, humidity, and smoke levels, our system employs advanced machine learning algorithms to discern between normal environmental fluctuations and potential fire events. Through extensive data collection and analysis, we achieved remarkable training accuracy of 98% and testing accuracy of 92%. The integration of WSNs and machine learning offers significant advantages including improved early detection capabilities, reduced false alarms, faster response times, and enhanced control over forest fires. This study represents a significant advancement in forest fire detection technology, providing a promising solution for effective forest management and protection against the devastating effects of forest fires.
Downloads
How To Cite (APA)
Tandasa Niriksha, Jubilee Sarma, Ritisha Nayak, Soumya Dewangan, & Akanksha Mishra (May-2024). Integrated System of Wireless Sensor Networks and Machine Learning for Early Forest Fire Detection and Control. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), b527-b534. https://ijnrd.org/papers/IJNRD2405167.pdf
Issue
Volume 9 Issue 5, May-2024
Pages : b527-b534
Other Publication Details
Paper Reg. ID: IJNRD_220709
Published Paper Id: IJNRD2405167
Downloads: 000122025
Research Area: Computer Science & TechnologyÂ
Author Type: Indian Author
Country: Jharsuguda, Odisha, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2405167.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405167
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
UGC CARE JOURNAL PUBLICATION | ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave | IJNRD.ORG | IJNRD.COM | IJPUB.ORG
Copyright & License
© 2025 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License. and The Open Definition.
You are free to share, adapt, and redistribute the material, provided proper credit is given to the original author. 🛡️ Disclaimer: The content, data, and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses, or consequences arising from its use.
Publication Timeline
Article Preview: View Full Paper
Call For Paper
IJNRD is a Scholarly Open Access, Peer-Reviewed, Refereed, and UGC CARE Journal Publication with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost, and Transparent Peer Review Journal Publication that adheres to the UGC CARE 2025 Peer-Reviewed Journal Policy and aligns with Scopus Journal Publication standards to ensure the highest level of research quality and credibility.
IJNRD offers comprehensive Journal Publication Services including indexing in all major databases and metadata repositories, Digital Object Identifier (Crossref DOI) assignment for each published article with additional fees, citation generation tools, and full Open Access visibility to enhance global research reach and citation impact.
The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse academic and professional fields. The journal promotes global knowledge exchange among researchers, developers, academicians, engineers, and practitioners, serving as a trusted platform for innovative, peer-reviewed journal publication and scientific collaboration.
Indexing Coverage: Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many other recognized academic repositories.
How to submit the paper?
By Our website
Click Here to Submit Paper Online
You can now publish your research in IJNRD. IJNRD is a Transparent Peer-Reviewed Open Access Journal Publication (Refereed Journal), aligning with New UGC and UGC CARE recommendations.
For more details, refer to the official notice: UGC Public Notice
Submit Paper Online
Important Dates for Current issue
Paper Submission Open For: December 2025
Current Issue: Volume 10 | Issue 12 | December 2025
Impact Factor: 8.76
Last Date for Paper Submission: Till 31-Dec-2025
Notification of Review Result: Within 1-2 Days after Submitting paper.
Publication of Paper: Within 01-02 Days after Submititng documents.
Frequency: Monthly (12 issue Annually).
Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.
Subject Category: Research Area
Call for Paper: More Details
Approval, Licenses and Indexing: More Details
