Artificial neural network-based forest fire detection system using wireless sensor network

In this paper, the problem of forest fire is considered and a comprehensive system is proposed with the use of wireless sensor network for real-time forest fire detection. The wireless sensor network can give more accurate detection of forest fire danger rate over traditional monitoring approaches like lookout towers and satellite based monitoring. This proposed framework mainly describes the data collection from designed data acquisition system and then its classification. The wireless transmission of sensor node data is done using BTBee module. Also artificial neural networks (ANN) approach, i.e. support vector machine (SVM) is applied for classification of collected data. Classification accuracy is evaluated and compared for various Kernel functions including multilayer perceptron (MLP), polynomial, quadratic and radial basis function (RBF).