Random Articles
Reseach Article
Forest Fire Detection through Wireless Sensor Network using Type-2 Fuzzy System
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 52 - Number 9 |
| Year of Publication: 2012 |
| Authors: Ashutosh K. Singh, Harshit Singh |
10.5120/8230-1315
|
Ashutosh K. Singh, Harshit Singh . Forest Fire Detection through Wireless Sensor Network using Type-2 Fuzzy System. International Journal of Computer Applications. 52, 9 ( August 2012), 19-23. DOI=10.5120/8230-1315
Abstract
Fire detection is always been a crucial challenge for human, moreover detecting fire using automated sensors definitely requires efficient and accurate ways. Since fire depends on more than one physical/environmental condition simultaneously, so in this paper we have used fuzzy type-2 logic for fire detection. Fuzzy gives best results in such cases because there is an uncertainty about how much extent of a factor like temperature, humidity and light intensity should be involved to cause a fire. In addition to this interval type-2 fuzzy system is used to make the results accurate and error free so that there would be no uncertainty in decision making.
References
- Y. Simon, "A fuzzy logic approach to fire detection in aircraft dry bays and engine compartments," IEEE Transaction on Industrial Electronics, vol. 47, no. 5, pp. 1161–1171, Oct 2000
- Z. B. Li and H. Zhou, "Research on the application of fuzzy data fusion to cable fire detecting system," in Proceedings of the Third International Conference on Machine Learning and Cybernetics, vol. 4, Shanghai, Aug 2004, pp. 2083– 2085
- P. Manjunatha, A. K. Verma and A. Srividya, "Multi-Sensor Data Fusion in Cluster based Wireless Sensor Networks Using Fuzzy Logic Method," 2008 IEEE Region 10 Colloquium and the Third ICIIS, Kharagpur, INDIA December 8-10.
- L. A. Zadeh, "The concept of a linguistic variable and its application to approximate reasoning– 1," Information Sciences, vol. 8, pp. 199–249, 1975.
- J. M. Mendel, "A quantitative comparison of interval type-2 and type-1 fuzzy logic systems: First results," 2010 IEEE International Conference on Fuzzy Systems, pp. 1-8, July 2010.
- Jerry M. Mendel, "Type-2 fuzzy sets and systems: An overview," IEEE computational intelligence magazine, vol. 2, no. 1, pp. 20-29, February 2007.
- Dongrui U, Maowen Nie "Comparison and Practical Implementation of Type-Reduction Algorithms for Type-2 Fuzzy Sets and Systems" 2011 IEEE International Conference on Fuzzy Systems June 27-30, 2011, Taipei, Taiwan
- N. N. Karnik and J. M. Mendel, "Centroid of a type-2 fuzzy set," Information Sciences, vol. 132, pp. 195–220, 2001.
Index Terms
Keywords