Counter Measures for Early Detection of Fire within the Forest using Hexagonal Based Neural Network Approach

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ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

Counter Measures for Early Detection of Fire within the Forest using Hexagonal Based Neural Network Approach
Author(s):
Harpreet Kaur, Suraj pal
Keywords:
IoT, Sensors, Disaster, Fault tolerance, fire alarm system
Abstract
IoT provides mechanism to integrate various diverse components (Sensors) to work in synchronized way. A system of smart interconnected components can be used to monitor the abnormal situation where existing resources or infrastructure fails. This paper is intended to study to study the techniques and framework used to analyses the disasters such as floods, fire, earth quakes etc. the prime objective of this study is to examine the techniques associated with fire detection in considerably larger premises like forest. Fire detection system along with heat sensors are employed in this case. This work provides the neural network based approach for the early detection of fire within the forest. It also provides comparative analysis of each technique to determine better approach that can be enhanced on the parameters of energy conservation and fault tolerance in future work.
Article Details
Unique Paper ID: 153064 Publication Volume & Issue: Volume 8, Issue 5 Page(s): 450 - 457
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