COMPUTATIONAL INTELLIGENCE APPLIED TO WILDFIRE PREDICTION USING WIRELESS SENSOR NETWORKS

V. G. Gasull, D. F. Larios, J. Barbancho, C. León, M. S. Obaidat

Abstract

In this paper we present a novel algorithm, implemented in a wireless sensor network environment, for the study of fire in a natural environment. This algorithm can offer two kinds of information: the risk of a fire and, in case of an active fire, the propagation direction of the flames and their velocity. This information is useful for fire rangers in order to obtain escape ways and determine strategies for putting off the fire. The evaluation of the proposal algorithm is performed using an ad-hoc simulator. The preliminary results obtained show that the proposed algorithm is a promising method that can be used to solve the most common problems related to fire control and detection.

References

  1. Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., and Cayirci, E. (2002). Wireless sensor networks: a survey. Computer Networks, 38(4):393-422.
  2. Antoine-Santoni, T., Santucci, J. F., de Gentili, E., Silvani, X. and Morandini, F. (2009). Performance of a protected wireless sensor network in a fire. Analysis of fire spread and data transmission. Sensors, 9(8):5878- 5893.
  3. Canadian Forest Fire Danger Rating System (CFFDRS). (1985). Equations and FORTRAN program for the Canadian Forest Fire Weather Index System.
  4. Cherniak, A. and Zadorozhny, V. (2010). Towards adaptive sensor data management for distributed fire evacuation infrastructure. MDM'10. 11th International Conference on Mobile Data Managemet, pages 151-156.
  5. García, E. M., Serna, M. A., Bermúdez, A., and Casado, A. (2008). Simulating a WSN-based wildfire fighting support system. ISPA'08. International Symposium on Parallel and Distributed Processing with Application, pages 896-902.
  6. Hefeeda, M., and Bagheri, M. (2007). Wireless sensor networks for early detection of forest fires. IEEE International Conference on Mobile Adhoc and Sensor Systems, pages 1-6.
  7. Kosucu, B., Irgan, K., Kucuk, G., and Baydere, S. (2009). FireSenseTB: A wireless sensor networks testbed for forest fire detection. IWCMC'09, 6th International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly, pages 1173-1177.
  8. Lei, Z., and Lu, J. (2010). Distributed coverage of forest fire border based on WSN. 2nd International Conference on Industrial and Information Systems, pages 341-344.
  9. Li, W., Zhang, J., Zhang, J., Xia, Z., and Wang, G. (2009). The Monitoring of Host Computer for Forest Fire Detection System based on Wireless Sensor Network. WiCom'09, 5th International Conference on Wireless Communications, Networking and Mobile Computing, pages 1-4.
  10. Liu, S., Tu, D., and Zhang, Y. (2009). Multiparameter fire detection based on wireless sensor network. ICIS'09. IEEE International Conference on Intelligent Systems, pages 203-206.
  11. Marin-Perianu, M., and Havinga, P. (2007). D_FLER - A distributed fuzzy logic engine for rule based wireless sensor networks. LNCS 2007, vol. 4836; 86-101.
  12. Obregón, P. D. P., Sondón, S., Sañu, S., Masson, F., Mandolesi, P. S., and Julián, P. M. (2009). System Based on Sensor Networks for Application in Forest Fire Prevention. EAMTA'09. Micro-Nanoelectronics, Technoloy and Applications, pages 61-65.
  13. Ramachandran, C., Misra, S., and Obaidat M. S. (2008). A probabilistic zonal approach for swarm-inspired wildfire detection using sensor networks. International Journal of Comunication Systems, 21(10);1047-1073.
  14. Rothermel, R. C. (1983). How to predict the spread and intensity of forest and range fires. US Department of Agriculture, Forest Service, General Technical Report, INT-143.
  15. Yu, L., Wang, N., and Meng, X. (2005). Real-time Forest Fire Detection with Wireless Sensor Networks. International Conference on Wireless Communication, Networking and Mobile Computing, vol.2, pages 1214-1217.
  16. Zhang, J., Li, W., Yin, Z., Liu, S., and Guo, X. (2009). Forest Fire Detection System based on Wireless Sensor Network. ICIEA'09, 4th IEEE Conference on Industrial Electronics and Applications, pages 520- 523.
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Paper Citation


in Harvard Style

G. Gasull V., F. Larios D., Barbancho J., León C. and S. Obaidat M. (2011). COMPUTATIONAL INTELLIGENCE APPLIED TO WILDFIRE PREDICTION USING WIRELESS SENSOR NETWORKS . In Proceedings of the International Conference on Data Communication Networking and Optical Communication System - Volume 1: DCNET, (ICETE 2011) ISBN 978-989-8425-69-0, pages 14-21. DOI: 10.5220/0003513200140021


in Bibtex Style

@conference{dcnet11,
author={V. G. Gasull and D. F. Larios and J. Barbancho and C. León and M. S. Obaidat},
title={COMPUTATIONAL INTELLIGENCE APPLIED TO WILDFIRE PREDICTION USING WIRELESS SENSOR NETWORKS},
booktitle={Proceedings of the International Conference on Data Communication Networking and Optical Communication System - Volume 1: DCNET, (ICETE 2011)},
year={2011},
pages={14-21},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003513200140021},
isbn={978-989-8425-69-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Data Communication Networking and Optical Communication System - Volume 1: DCNET, (ICETE 2011)
TI - COMPUTATIONAL INTELLIGENCE APPLIED TO WILDFIRE PREDICTION USING WIRELESS SENSOR NETWORKS
SN - 978-989-8425-69-0
AU - G. Gasull V.
AU - F. Larios D.
AU - Barbancho J.
AU - León C.
AU - S. Obaidat M.
PY - 2011
SP - 14
EP - 21
DO - 10.5220/0003513200140021