Modeling of Packet Streaming Services in Information Communication Networks

Modeling of Packet Streaming Services in Information Communication Networks

Aderemi A. Atayero (Covenant University, Nigeria) and Yury A. Ivanov (Elster Vital Connections, Russia)
DOI: 10.4018/978-1-4666-2208-1.ch009
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Application of the term video streaming in contemporary usage denotes compression techniques and data buffering, which can transmit video in real time over the network. There is currently a rapid growth and development of technologies using wireless broadband technology as a transport, which is a serious alternative to cellular communication systems. Adverse effect of the aggressive environment used in wireless networks transmission results in data packets undergoing serious distortions and often getting lost in transit. All existing research in this area investigate the known types of errors separately. At present there are no standard approaches to determining the effect of errors on transmission quality of services. Besides, the spate in popularity of multimedia applications has led to the need for optimization of bandwidth allocation and usage in telecommunication networks. Modern telecommunication networks should by their definition be able to maintain the quality of different applications with different Quality of Service (QoS) levels. QoS requirements are generally dependent on the parameters of network and application layers of the OSI model. At the application layer QoS depends on factors such as resolution, bit rate, frame rate, video type, audio codecs, and so on. At the network layer, distortions (such as delay, jitter, packet loss, etc.) are introduced.
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We present in this chapter simulation results of modeling video streaming over wireless broadband communications networks and the differences in spatial and time characteristics of the different subject groups during transmission over networks. Numerical results of the modeling and analysis of the effect of these parameters on quality of video streaming are presented and discussed. Also presented is the proposal of a completely new approach to modeling errors, based on a developed Markov model with the use of actual statistics of errors in the channels of broadband wireless access networks. We show that discrete Markov processes with the necessary number of states describe the mechanism of transmission of video sufficiently well and an increase in the number of states of the Markov chain allows to observe less divergence between real and simulated data, but this increases the complexity of the model, analysis and processing of data. The chapter effectively summarizes the researches carried out to date by the authors in investigating the effects of video streaming errors on the performance of broadband wireless access networks.

In section 1, we present background information on the features of streaming services: their characteristics, quality parameters, and peculiarities of streaming H.264/AVC video over broadband wireless access networks. The second section presents the design and development of our streaming video software and its use in estimation of the quality of streamed video. In the third section of the chapter, we present our findings on investigating the effect of noise stability on the quality of streaming video. Each section of the chapter ends with a conclusion and relevant recommendations arising from the discussion of research findings.

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