Nodes of Sensors

Sensor nodes are distributed in an optimized pattern and by taking in to account the limited power sources of sensor nodes, the tracking of object or target with random movement patterns is done by an energy efficient tracking algorithm, called selective activation combined with prediction. Audio signals are used to detect and classify the objects among the known classes. Specific parameters called feature vectors are calculated from the sampled audio signals for various objects and are used to train the classifier for classifying the object to its class. The selection of appropriate classifier and feature vectors proved to be very significant for achieving high accuracy percentage in classification. Thus a highly customized version of classifier and tracking algorithm specifically suitable for WSN is achieved