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An efficient method of forest fire detection using wireless sensor network with yagers modified dempsters rule

The most common hazard in Forest is Forest Fire. Forest Fires are as old as the Forest themselves. They pose a threat not only the Forest wealth but also to the entire regime seriously disturbing the bio diversity, the ecology and the environment of a region. The present methods of detection of Forest Fire using Satellite are widely considered to be inadequate to foresee the Fires in the Forest. Moreover, the satellite based methods of Forest Fire detection predict the Forest Fire only after the Fire spread uncontrollable and this method is considered to be fruitless to forecast the Forest Fire. Hence, an Intelligent system is introduced which comprises of multiple classifiers to classify the Forest Fire attributes and fusion methods using Yager’s modified Dempster’s rule are considered to be very effective to combine the data to predict the Fire more accurately. The Experimental results show the combination approach yield better accuracy in predicting the Forest Fire.