An investigation using wavelet analysis to detect a change in the characteristics of self-similar traffic

At present threshold values are based on the mean and standard deviation of link utilisation are used as trigger to find more stable route in the network. The Aim of this paper is to use a technique based on the wavelet method (of Abry and Veitch 1998) to detect a real time change in the characteristics of self-similar traffic and this can be used as a threshold trigger to provide optimum path selection for routing protocols such as OSPF (Open Shortest Path First).