Modeling and Simulation of Self-Similar Traffic in Wireless IP Networks

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Author(s): Dimitar Radev (University of Rousse, Bulgaria), Izabella Lokshina (SUNY Oneonta, USA)and Svetla Radeva (CAE, UACEG, Bulgaria)
Copyright: 2011
Pages: 17
Source title: Interdisciplinary and Multidimensional Perspectives in Telecommunications and Networking: Emerging Findings
Source Author(s)/Editor(s): Michael Bartolacci (Penn State University - Berks, USA)and Steven R. Powell (California State Polytechnic University - Pomona, USA)
DOI: 10.4018/978-1-60960-505-6.ch016

Keywords: Information Science Reference / Media & Communications / Networking and Telecommunications / Telecommunications

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Abstract

The paper examines self-similar properties of real telecommunications network traffic data over a wide range of time scales. These self-similar properties are very different from the properties of traditional models based on Poisson and Markov-modulated Poisson processes. Simulation with stochastic and long range dependent traffic source models is performed, and the algorithms for buffer overflow simulation for finite buffer single server model under self-similar traffic load SSM/M/1/B are explained. The algorithms for modeling fixed-length sequence generators that are used to simulate self-similar behavior of wireless IP network traffic are developed and applied. Numerical examples are provided, and simulation results are analyzed.

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Modeling and Simulation of Self-Similar Traffic in Wireless IP Networks

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