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2011 Seventh International Conference on Mobile Ad-hoc and Sensor Networks (2011)
Beijing, China
Dec. 16, 2011 to Dec. 18, 2011
ISBN: 978-0-7695-4610-0
pp: 52-59
A forest fire has long been a severe threat to the forest resources and human life. The threat could effectively be mitigated by timely and accurate detection. In this paper, we propose a novel accurate forest fire detection system using Wireless Sensor Networks (WSNs). In the proposed system, the detection accuracy is increased by applying the multi-criteria detection that an alarm decision depends on multiple attributes of a forest fire. The multi-criteria detection is implemented by the artificial neural network which fuses sensing data corresponding to multiple attributes of a forest fire into an alarm decision. Due to the utilization of the artificial neural network, the proposed system enjoys low overhead and the self-learning capability. Furthermore, we have developed a prototype consisting TelosB sensor nodes and carried out extensive experiments to study the performance of the proposed system. We have also developed a solar battery in order to persistently power the unattended sensor node deployed in the forest.

Y. Gu, Y. Liu, Y. Ji, G. Chen and J. Li, "A Novel Accurate Forest Fire Detection System Using Wireless Sensor Networks," 2011 Seventh International Conference on Mobile Ad-hoc and Sensor Networks(MSN), Beijing, China, 2011, pp. 52-59.
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