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A Wireless Multi-sensor Network Deployment Framework for Wildland Fire Detection

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  2012 Dallas, Texas, July 29 - August 1, 2012  121340700.(doi:10.13031/2013.41939)
Authors:   Deqin Xiao, Xiaoqing Jiang, Jianzhao Feng, Yueming Hu
Keywords:   Multi-sensor network, Wildland fire detection, Deployment Framework, Data fusion

Wireless Sensor Networks (WSNs) become an important issue such as environmental monitoring, home or factory automation, logistics and so on. Many Wildland fires cause to damage on forest and a mountain which have valuable natural resources. Current detection systems use a camera, an infrared sensor system and a satellite system. These systems cannot support real-time surveillance, monitoring and automatic alarm. The MNWFD (Multi-sensor Networks for Wildland Fire Detection) is partially funded by the Guangdong Technology Community through the projects. This paper reports a wireless multi-sensor network deployment framework for forest fire detection which mixes sensors such as temperature, humidity, wind direction/speed and detects smoke with cameras in a wireless network in order to forecast fire in forest areas of the Guangzhou Forest Park. The other primary objective is the development of an advanced multi-sensor data fusion scheme which used to reason about the probability of fire in a geographic area covered by temperature, humidity, wind direction/speed and vision.

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