Abstract
The detection and prevention of forest fire is a major problem now a days. Timely detection allows the prevention units to reach the fire in its initial stage and thus reduce the risk of spreading and the harmful impact on human and animal life. Because of the inadequacy of conventional forest fire detection on real time and monitoring accuracy the Wireless Sensor Network (WSN) is introduced. This paper proposes a fuzzy logic based implementation to manage the uncertainty in forest fire detection problem. Sensor nodes are used for detecting probability of fire with variations during different time in a day. The Sensor nodes sense temperature, humidity, light intensity, CO 2 density and time and send the information to the base station. This proposed system improves the accuracy of the forest fire detection and also provides a real time based detection system as all the input variables are collected in real time basis.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Abraham, A., Rushil, K.K., Ruchit, M.S., Ashwini, G., Naik, V.U.: G, N.K.: Energy Efficient Detection of Forest Fires Using Wireless Sensor Networks. In: Proceedings of International Conference on Wireless Networks (ICWN 2012), vol. 49 (2012)
Diaz-Ramirez, A., Tafoya, L.A., Atempa, J.A., Mejia-Alvarez, P.: Wireless Sensor Networks and Fusion Information Methods for Forest Fire Detection. In: Proceedings of 2012 Iberoamerican Conference on Electronics Engineering and Computer Science, pp. 69–79 (2012)
Lozano, C., Rodriguez, O.: Design of Forest Fire Early Detection System Using Wireless Sensor Networks. The Online Journal on Electronics and Electrical Engineering 3(2), 402–405
Kasischke, E.S., Bruhwiler, L.P.: Emissions of carbon dioxide, carbon monoxide, and methane from boreal forest fires in 1998. Journal of Geophysical Research 108(D1) (2003)
Vukasinovic, I., Rakocevic, G.: An improved approach to track forest fires and to predict the spread direction with WSNs using mobile agents. In: International Convention MIPRO 2012, pp. 262–264 (2012)
Lloret, J., Garcia, M., Bri, D., Sendra, S.: A Wireless Sensor Network Deployment for Rural and Forest Fire Detection and Verification. In: Proceedings of International Conference on IEEE Sensors, pp. 8722–8747 (2009)
Zhang, J., Li, W., Han, N., Kan, J.: Forest fire detection system based on a ZigBee wireless sensor network. Journal of Frontiers in China 3(3), 359–374 (2008)
Jang, J.-S.R., Sun, C.-T., Mizutani, E.: Neuro-fuzzy and soft computing. PHI Learning
Yu, L., Wang, N., Meng, X.: Real-time Forest Fire Detection with Wireless Sensor Networks. In: Proceedings of International Conference on Wireless Communications, Networking and Mobile Computing, vol. 2, pp. 1214–1217 (2005)
Sridhar, P., Madni, A.M., Jamshidi, M.: Hierarchical Aggregation and Intelligent Monitoring and Control in Fault-Tolerant Wireless Sensor Networks. International Journal of IEEE Systems 1(1), 38–54 (2007)
Bolourchi, P., Uysal, S.: Forest Fire Detection in Wireless Sensor Network Using Fuzzy Logic. In: Fifth International Conference on Computational Intelligence, pp. 83–87 (2013)
Bradstock, R.A., Hammill, K.A., Collins, L., Price, O.: Effects of weather, fuel and terrain on fire severity in topographically diverse landscapes of south-eastern Australia. Landscape Ecology 25, 607–619 (2010)
Bhowmik, S., Giri, C.: Energy Efficient Fuzzy Clustering in Wireless Sensor Network. In: Proceedings of Ninth International Conference on Wireless Communication & Sensor Networks (2013)
Bhowmik, S., Mitra, D., Giri, C.: K-Fault Tolerant Topology Control in Wireless Sensor Network. In: Proceedings of International Symposium on Intelligent Informatics (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Dutta, M., Bhowmik, S., Giri, C. (2014). Fuzzy Logic Based Implementation for Forest Fire Detection Using Wireless Sensor Network. In: Kumar Kundu, M., Mohapatra, D., Konar, A., Chakraborty, A. (eds) Advanced Computing, Networking and Informatics- Volume 1. Smart Innovation, Systems and Technologies, vol 27. Springer, Cham. https://doi.org/10.1007/978-3-319-07353-8_38
Download citation
DOI: https://doi.org/10.1007/978-3-319-07353-8_38
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07352-1
Online ISBN: 978-3-319-07353-8
eBook Packages: EngineeringEngineering (R0)