A Wildfire Prediction Based on Fuzzy Inference System for Wireless Sensor Networks

  • V. G. Gasull
  • D. F. Larios
  • J. Barbancho
  • C. León
  • M. S. Obaidat
Part of the Communications in Computer and Information Science book series (CCIS, volume 314)


The study of forest fires has been traditionally considered as an important application due to the inherent danger that this entails. This phenomenon takes place in hostile regions of difficult access and large areas. Introduction of new technologies such as Wireless Sensor Networks (WSNs) has allowed us to monitor such areas. In this paper, an intelligent system for fire prediction based on wireless sensor networks is presented. This system obtains the probability of fire and fire behavior in a particular area. This information allows firefighters to obtain escape paths and determine strategies to fight the fire. A firefighter can access this information with a portable device on every node of the network. The system has been evaluated by simulation analysis and its implementation is being done in a real environment.


Fuzzy System Wireless Sensor Networks Forest Fire Simulation 


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  1. 1.
    Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: Wireless sensor networks: A survey. Computer Networks 38(4), 393–422 (2002)CrossRefGoogle Scholar
  2. 2.
    Mainwaring, A., Polastre, J., Szewczyk, R., Culler, D., Anderson, J.: Wireless sensor networks for habitat monitoring. In: Proceedings of the International Workshop on Wireless Sensor Networks and Applications, pp. 88–97 (2002)Google Scholar
  3. 3.
    Ramachandran, C., Misra, S., Obaidat, M.S.: A probabilistic zonal approach for swarm-inspired wildfire detection using sensor networks. International Journal of Communication Systems 21(10), 1047–1073 (2008)CrossRefGoogle Scholar
  4. 4.
    Manjunatha, J., Verma, A.K., Srividya, A.: Multi-Sensor data fusion in cluster based wireless sensor networks using fuzzy logic method. In: Proceedings of the International Conference on Industrial and Information Systems (2008)Google Scholar
  5. 5.
    Zhang, J., Li, W., Yin, Z., Liu, S., Guo, X.: Forest Fire Detection System based on Wireless Sensor Network. In: 4th IEEE Conference on Industrial Electronics and Applications, pp. 520–523 (2009)Google Scholar
  6. 6.
    Li, W., Zhang, J., Zhang, J., Xia, Z., Wang, G.: The monitoring of host computer for forest fire detection system based on wireless sensor network. In: 5th International Conference on Wireless Communications, Networking and Mobile Computing, pp. 1–4 (2009)Google Scholar
  7. 7.
    Hefeeda, M., Bagheri, M.: Wireless sensor networks for early detection of forest fires. In: IEEE International Conference on Mobile Adhoc and Sensor Systems, pp. 1–6 (2007)Google Scholar
  8. 8.
    Kosucu, B., Irgan, K., Kucuk, G., Baydere, S.: FireSenseTB: A wireless sensor networks testbed for forest fire detection. In: 6th International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly, pp. 1173–1177 (2009)Google Scholar
  9. 9.
    Cherniak, A., Zadorozhny, V.: Towards adaptive sensor data management for distributed fire evacuation infrastructure. In: 11th International Conference on Mobile Data Management, pp. 151–156 (2010)Google Scholar
  10. 10.
    García, E.M., Serna, M.A., Bermúdez, A., Casado, A.: Simulating a WSN-based wildfire fighting support system. In: International Symposium on Parallel and Distributed Processing with Application, pp. 896–902 (2008)Google Scholar
  11. 11.
    Lei, Z., Lu, J.: Distributed coverage of forest fire border based on WSN. In: 2nd International Conference on Industrial and Information Systems, pp. 341–344 (2010)Google Scholar
  12. 12.
    Obregón, P.D.P., Sondón, S., Sañu, S., Masson, F., Mandolesi, P.S., Julián, P.M.: System Based on Sensor Networks for Application in Forest Fire Prevention. In: Micro-Nanoelectronics, Technoloy and Applications, pp. 61–65 (2009)Google Scholar
  13. 13.
    Antoine-Santoni, T., Santucci, J.F., de Gentili, E., Silvani, X., Morandini, F.: Performance of a protected wireless sensor network in a fire: analysis of fire spread and data transmission. Sensors 9(8), 5878–5893 (2009)CrossRefGoogle Scholar
  14. 14.
    Liu, S., Tu, D., Zhang, Y.: Multiparameter fire detection based on wireless sensor network. In: IEEE International Conference on Intelligent Systems, pp. 203–206 (2009)Google Scholar
  15. 15.
    Plan INFOCA 2003. Cap I-VIII,
  16. 16.
    Marin-Perianu, M., Havinga, P.: D-FLER – A Distributed Fuzzy Logic Engine for Rule-Based Wireless Sensor Networks. In: Ichikawa, H., Cho, W.-D., Satoh, I., Youn, H.Y. (eds.) UCS 2007. LNCS, vol. 4836, pp. 86–101. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  17. 17.
    Fire: Public domain software for the wildlandfire community (2008),
  18. 18.
    Rothermel, R.C.: How to predict the spread and intensity of forest and range fires. US Department of Agriculture, Forest Service, General Technical Report, INT-143 (1983)Google Scholar
  19. 19.
    Canadian Forest Fire Danger Rating System (CFFDRS), Equations and FORTRAN program for the Canadian forest fire weather index system (1985)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • V. G. Gasull
    • 1
  • D. F. Larios
    • 1
  • J. Barbancho
    • 1
  • C. León
    • 1
  • M. S. Obaidat
    • 2
  1. 1.Department of Electronic TechnologyUniversity of SevilleSevilleSpain
  2. 2.Department of Computer Science & Software EngineeringMonmouth UniversityW. Long BranchU.S.A.

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