Forest Fire Detection using Zigbee Wireless Sensor Networks
Journal: GRD Journal for Engineering (Vol.4, No. 13)Publication Date: 2019-07-01
Authors : Joseph Jose K; Kargil Joshy; Joel Abraham Andrady; Mithum V M; Sanju B;
Page : 332-335
Keywords : Forest Fires; Zigbee; Wireless Sensor Networks;
Abstract
Forest Fires are one of the most important and prevalent type of disasters and they can create a great deal of Environmental Impacts due to which their early detection is very vital. The scope of application of Satellite Detection Systems is also restricted by a number of factors, which reduces its effectiveness in Forest Fire Detection. Due to the demerits in Satellite-based Detection Systems, Wireless Sensor Network Technology was used to detect Forest Fires and send the information to the computers in the Monitoring Centers. The collected data will be analyzed and managed by the Computer. Compared with the normal meteorological information and basic forest resource data, the system can make a quick assessment of a potential fire danger. The main need for choosing this particular application for the detection of forest fires is to overcome the demerits present in the existing technologies of MODIS and Basic Wireless Sensor Network-based Forest Fire Detection Systems and an advanced system is developed for the detection of forest fires. The outcome of the above implementations reveal that various sensors used in addition to the temperature sensor improves security level for areas located near the forests. It also shows that the Optimized Solar Energy Harvester increases the efficiency to about 85 % and the use of PC-based Web Server reduces the bulkiness and cost of the entire system.
Citation: Joseph Jose K, Kargil Joshy, Joel Abraham Andrady, Mithum V M, Sanju B. "Forest Fire Detection using Zigbee Wireless Sensor Networks." Global Research and Development Journal For Engineering [ERTEE' 19], Adishankara Institute of Engineering and Technology, kalady, Kerala KTU(Kerala Technological University), (March 2019) : pp. 332 - 335.
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Last modified: 2019-07-08 22:22:33