Research of network traffic decorrelation algorithm based on wavelet transformation

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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).

About the authors

I. V. Kartashevskiy

Povolzhskiy State University of Telecommunications and Informatics

Author for correspondence.
Email: i.kartashevskiy@psuti.ru

Professor of Software Engineering Department, Doctor of Technical Science

Russian Federation, Samara

V. A. Osanov

Povolzhskiy State University of Telecommunications and Informatics

Email: v.osanov@psuti.ru

Senior Teacher of Management in Technical Systems Department.

Russian Federation, Samara

S. V. Malakhov

Povolzhskiy State University of Telecommunications and Informatics

Email: s.malakhov@psuti.ru

Associated Professor of Management in Technical Systems Department, PhD in Technical Science

Russian Federation, Samara

D. O. Iakupov

Povolzhskiy State University of Telecommunications and Informatics

Email: d.yakupov@psuti.ru

Teacher of Software Engineering Department

Russian Federation, Samara

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Copyright (c) 2025 Kartashevskiy I.V., Osanov V.A., Malakhov S.V., Iakupov D.O.

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