Congestion Control in Data Transmission Networks Sliding Mode and Other Designs

Congestion Control in Data Transmission Networks details the modeling and control of data traffic in communication networks. It shows how various networking phenomena can be represented in a consistent mathematical framework suitable for rigorous formal analysis. The monograph differentiates between...

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Bibliographic Details
Main Authors: Ignaciuk, Przemysław, Bartoszewicz, Andrzej (Author)
Format: eBook
Language:English
Published: London Springer London 2013, 2013
Edition:1st ed. 2013
Series:Communications and Control Engineering
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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245 0 0 |a Congestion Control in Data Transmission Networks  |h Elektronische Ressource  |b Sliding Mode and Other Designs  |c by Przemysław Ignaciuk, Andrzej Bartoszewicz 
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300 |a XVI, 384 p  |b online resource 
505 0 |a Introduction -- Congestion Control in Data Transmission Networks: An Historical Perspective -- Fundamentals of Sliding-mode Controller Design -- Flow Control in Continuous-time Systems -- Flow Control in a Single-source Discrete-time System -- Flow Control in a Multi-source Discrete-time System -- Flow Control in Sampled-data Systems -- Discrete Sliding-mode Congestion Control in TCP Networks. Summary and Conclusions. Appendices: Simulations Performed with NS2 Network Simulator; Control-theoretic Concepts 
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653 |a Control and Systems Theory 
653 |a Calculus of Variations and Optimization 
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653 |a Telecommunication 
653 |a Communications Engineering, Networks 
653 |a Mathematical optimization 
653 |a Calculus of variations 
700 1 |a Bartoszewicz, Andrzej  |e [author] 
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520 |a Congestion Control in Data Transmission Networks details the modeling and control of data traffic in communication networks. It shows how various networking phenomena can be represented in a consistent mathematical framework suitable for rigorous formal analysis. The monograph differentiates between fluid-flow continuous-time traffic models, discrete-time processes with constant sampling rates, and sampled-data systems with variable discretization periods. The authors address a number of difficult real-life problems, such as: • optimal control of flows with disparate, time-varying delay; • the existence of source and channel nonlinearities; • the balancing of quality of service and fairness requirements; and • the incorporation of variable rate allocation policies. Appropriate control mechanisms which can handle congestion and guarantee high throughput in various traffic scenarios (with different networking phenomena being considered) are proposed. Systematic design procedures using sound control-theoretic foundations are adopted. Since robustness issues are of major concern in providing efficient data-flow regulation in today’s networks, sliding-mode control is selected as the principal technique to be applied in creating the control solutions. The controller derivation is given extensive analytical treatment and is supported with numerous realistic simulations. A comparison with existing solutions is also provided. The concepts applied are discussed in a number of illustrative examples, and supported by many figures, tables, and graphs walking the reader through the ideas and introducing their relevance in real networks