SVM-instance based approach to improve QoS parameters for time critical applications in WSN

The QoS factors such as accuracy and time delay plays a major role in time critical applications. The proposed SVM-instance based algorithm improves the accuracy and reduces the time delay for the recognition of emergency vehicle sound. In this approach, the time delay is reduced by identifying the support vectors which are the data points near the margin of hyper plane and the accuracy is increased by increasing the margin between the classes. The MFCC which is derived from frequency and intensity is used for accurate sound recognition. Thus time delay was reduced and accuracy was improved in recognition of emergency vehicle sound.