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In this paper, we propose an expression for estimating the byte loss probability in a single server link taking into account the multifractal properties of network traffic. Using the proposed loss probability estimation approach, we present an adaptive transmission rate control scheme for network communication servers. The proposed algorithm includes a search algorithm in order to find the rate that attains the required loss probability in a network communication link. Finally, we compare the proposed multifractal based adaptive rate allocation to a monofractal based dynamic allocation scheme present in the literature.

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Abstract. In this paper, we present an analysis of VoIP (Voice over IP) traffic and data transfer using PLC (PowerLine Communications) network. We propose a model based on MMFM (Markov Modulated Fluid Models) for data and VoIP traffic in PLC networks. Simulations and comparisons were carried out to verify the efficiency of the proposed traffic model over the Poisson and MMPP (Markov Modulated Poisson Process) models.