Forest fire monitoring, detection and decision making systems by wireless sensor network
作者单位：School of Computer and Information Engineering Central South University of Forestry and Technology Department of Mathematics and Statistics School of Science Curtin University
会议名称：《第30届中国控制与决策会议》
会议日期：2018年
学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 080202[工学-机械电子工程] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统] 0802[工学-机械工程]
基 金：supported by Hunan Provincial Natural Science Foundation under Grant 2017JJ2409 the Chinese Government Scholarship under Grant CSC(The China Scholarship Council)NO.201508430243
关 键 词：Forest fire wireless sensor network data aggregation decision making
摘 要：Wireless Sensor Networks（WSNs） can be used for many applications, such as industrial automatic control, remote environmental monitoring and target tracking. The similar system is promising applications in forest fires can make a real-time monitoring and detection. Wireless sensor network consists of numerous small nodes in most situations, which small nodes are deployed in remote and inaccessible hostile environments or over large geographical areas. The large number of small nodes sense environmental changes and report them to cluster head node over network architect, which the deployment and maintenance should be easy and scalable. A new approach for forest fire monitoring and detection was present in this paper, which it is by using data aggregation in wireless sensor network. The proposed approach can provide faster and efficiently reaction to forest fires while consuming economically WSN’s energy, which has been validated and evaluated in extensive simulation experiments.