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Reseach Article

A New Approach based on Wireless Sensor Network and Fuzzy Logic for Forest Fire Detection

by Mohsen Ben Ammar, Rachid Souissi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 89 - Number 2
Year of Publication: 2014
Authors: Mohsen Ben Ammar, Rachid Souissi

Mohsen Ben Ammar, Rachid Souissi . A New Approach based on Wireless Sensor Network and Fuzzy Logic for Forest Fire Detection. International Journal of Computer Applications. 89, 2 ( March 2014), 48-55. DOI=10.5120/15477-4169

@article{ 10.5120/15477-4169,
author = { Mohsen Ben Ammar, Rachid Souissi },
title = { A New Approach based on Wireless Sensor Network and Fuzzy Logic for Forest Fire Detection },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 89 },
number = { 2 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 48-55 },
numpages = {9},
url = { },
doi = { 10.5120/15477-4169 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:08:14.691640+05:30
%A Mohsen Ben Ammar
%A Rachid Souissi
%T A New Approach based on Wireless Sensor Network and Fuzzy Logic for Forest Fire Detection
%J International Journal of Computer Applications
%@ 0975-8887
%V 89
%N 2
%P 48-55
%D 2014
%I Foundation of Computer Science (FCS), NY, USA

Undoubtedly, great environmental damage especially in forests due to wild fire expansion has been occurred lately which has for result the deterioration of the human quality of life. For this reason an urgent need for environmental protection and preservation has been raised in the last years. This paper, presents a new approach dedicated to forest fire detection and based on wireless sensor network and fuzzy logic that performs a real-time monitoring system in order to detect forest fires and avoid considerable damages. Wireless sensor networks are used in many fields and have been deployed in a variety of applications ranging from monitoring a small room to large forests. The use of wireless sensor networks in forest fire detection applications becomes an efficient approach to early detect fires in order to minimize damages and save human life. The proposed system consists of several sensor nodes having the architecture of the System-on-Chip (SoC), CC2430. Each sensor node acquires the appropriate information and sends it to the base station node connected to a personal computer. All the nodes in the monitoring area are alimented by a PV cell, collect the information of temperature, humidity and wind speed. The collected information is the input variables of the fuzzy logic of the system applied to detect forest fires. So, it will send real-time alarm messages and deliver the forest fire risk level to the monitoring authorities in order to undertake immediate actions.

  1. Evangelia Kolega, Vassilios Vescoukis, Christos Douligeris, "Forest Fire Sensing and Decision Support using Large Scale WSNs", International Congress on Environmental Modelling and Software Modelling for Environment's Sake, Fifth Biennial Meeting, Ottawa, Canada 2010.
  2. Rachid Souissi, Mohsen Ben Ammar, "An Intelligent Wireless Sensor Network Temperature Acquisition System with an FPGA", Wireless Sensor Network. Volume 6, Number 1, pp. 1-7. DOI: 10. 4236/wsn. 2014. 61001. January 2014.
  3. Davide Brunelli, Valter Bella, Fabio Luigi Bellifemine, "Poster Abstract: ?solar scavengersfor ultra-low power wirelesssensor nodes", DEIS - Universitá di Bologna Italy.
  4. Xiaofan Jiang, Joseph Polastre and David Culler, "Perpetual Environmentally Powered Sensor Networks" Computer Science Department University of California, Berkeley, CA 94720. IPSN 2005.
  5. C. Park and P. Chou, "Ambimax: Autonomous energy harvesting platform for multi-supply wireless sensor nodes", ISBN: 1-4244- 0626-9, vol. 1, pp. 168–177, IEEE 2006.
  6. Sukwon Choi, Hojung Cha, SungChil Cho, "A SoC-based Sensor Node: Evaluation of RETOS-enabled CC2430", SECON, pp. 132-141- IEEE 2007.
  7. ZigBee Alliance, "ZigBee Speci?cations, version 1. 0", Document 03322r10ZB. ZigBee Standards Organization, April 2005.
  8. Paolo Baronti, Prashant Pillai, Vince W. C. Chook, Stefano Chessa, Alberto Gotta, Y. Fun Hu, "Wireless sensor networks: A survey on the state of the art and the 802. 15. 4 and ZigBee standards", Computer Communications, Volume 30, Issue 7, 26 May 2007, pp. 1655-1695, ISSN: 0140-3664, 10. 1016/j. comcom. 2006. 12. 020.
  9. Liai Gao, Meng Zhang, Geng Chen, "An Intelligent Irrigation System Based on Wireless Sensor Network and Fuzzy Control". Journal of Networks, vol. 8, N°5, May 2013.
  10. P. Cepeda, P. Ponce, D. Romero, A. Molina, "Fuzzy CMeans Clustering Technique applied for Modeling Parameters of an intelligent Greenhouse Open Control System", Electronics, Robots and Automotive Mechanics Conference, IEEE Conference Publishing Services, pp. 283-288, 2011.
  11. Mohsen BEN AMMAR, Majed BEN AMMAR, Maher CHAABENE, Abdelhamid RABHI and Ahmed EL HAJJAJI, "Characterization tool for photovoltaic power sources", 18th Mediterranean Conference on Control & Automation. Congress Palace Hotel, Marrakech, Morocco. 978-1-4244-8092-0/10/ ©2010 IEEE- June 23-25, 2010.
  12. S. Lalouni, D. Rekioua, T. Rekioua, E. Matagne, "Fuzzy logic control of stand-alone photovoltaic system with battery storage", Journal of Power Sources 193, pp. 899–907, 2009.
  13. Souhir Sallem, Mohsen Ben Ammar, Maher Chaabene, "Fuzzy rules based energy management of a PVP/battery/load system", World Renewable Energy Congress WREC X, PV63, pp. 1384-1389, Glasgow, Scotland, 19-25 July 2008.
  14. Antonio M. Ortiz and Teresa Olivares, "Fuzzy Logic Applied to Decision Making in Wireless Sensor Networks", Fuzzy Logic - Emerging Technologies and Applications, Chapter 11 DOI: 10. 5772/36430. ISBN 978-953-51-0337-0, March 16, 2012.
  15. Elmer Dadios, "Fuzzy Logic - Emerging Technologies and Applications", Published in print edition March, 2012. ISBN 978-953-51-0337-0, Publisher: InTech, Chapters published March 16, 2012 under CC BY 3. 0 license DOI: 10. 5772/2337
  16. Institute of Electrical and Electronics Engineers, Inc. , IEEE Std. 802. 15. 4-2003 "Wireless Medium Access Control (MAC) and Physical Layer (PHY) Speci?cations for Low RateWireless Personal Area Networks (LR-WPANs), New York, IEEE Press. October 1, 2003.
  17. Xinrong Zhang?Bo Chang, "Design of Water-saving Irrigation Monitoring System Based on CC2430 and Fuzzy-PID". Journal of Control Engineering and Technology (JCET). www. ijcet. org; JCET Vol. 2 Iss. 3 - July 2012 PP. 124-129.
  18. ZHANG Shao-Qian1, JI Yang2, "Wireless Sensing WOT System Design of Fuzzy Control". Sciencepaper Online, 2013.
  19. CC2430; Software Examples Users Guide. Texas Instruments Incorporated, Copyright © 2009.
  20. Fuzzy logic Toolbox User's Guide R2013b. ©COPYRIGHT 1995–2013 by The MathWorks, Inc. September 2013.
  21. Holzbecher, Ekkehard, "Environmental Modeling Using Matlab". ISBN: 3540729364, Second Edition- Springer 2007.
  22. Shahab¬ Araghinejad, "Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering", ISBN: 9400775059. Edition Springer,
Index Terms

Computer Science
Information Sciences


Forest fire ZigBee SoC CC2430 Wireless Sensor Network fuzzy logic.