Research of network traffic decorrelation algorithm based on wavelet transformation

The article is devoted to the development of the network traffic decorrelation algorithm, allowing to significantly reduce the values of the autocorrelation coefficients of time intervals between packets. The proposed algorithm is based on finding the coefficients of the Haar wavelet transformation coefficient. An experimental analysis, presented demonstrates that an increase in the delay and the level of packet losses during video transmission over the network is closely related to an increase in the value of the autocorrelation coefficients of time intervals between packets at the traffic source output. The algorithm's performance is checked both on the resulting experimental trace and on the generated time intervals with the predetermined correlation coefficient, the value of which significantly exceeds the experimental value. The result of the proposed algorithm is new time intervals with a significantly reduced autocorrelation degree (almost equal zero).