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Journal of Engineering and Applied Sciences
Year: 2017 | Volume: 12 | Issue: 12 | Page No.: 3117-3123
DOI: 10.36478/jeasci.2017.3117.3123  
UAGNI an Intelligent Wildfire Monitoring and Assessment System
Nitin Jain , Sanjay Singla and S.N. Panda
 
Abstract: The most widely recognized risk in woodlands is woodlands fire. They represent a danger to the forest riches as well as to the whole administration to fauna and vegetation truly irritating the bio-differing qualities and the nature and condition of a region. Customary strategies for fire prevention action are not demonstrating powerful and it is presently basic to move towards new techniques that utilization current innovations to forestall out of control fire. The real reason for this disappointment is the piecemeal way to deal with the issue. Both the national concentration and the specialized assets required for supporting a methodical forest fire management program are deficient. Mulling over the genuine way of the issue, it is important to make some significant upgrades in the forest fire management technique. This study discusses a novel way to monitor and assess forest area using ubiquitous computing to handle forest fire. Algorithm proposed in this study for the deployment and activation of the sensor nodes in the forest area is novel in terms of higher security as well as integrity and redeployment in the forest area.
 
How to cite this article:
Nitin Jain, Sanjay Singla and S.N. Panda, 2017. UAGNI an Intelligent Wildfire Monitoring and Assessment System. Journal of Engineering and Applied Sciences, 12: 3117-3123.
DOI: 10.36478/jeasci.2017.3117.3123
URL: http://medwelljournals.com/abstract/?doi=jeasci.2017.3117.3123