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001 978-1-4471-4147-1
003 DE-He213
005 20200421112230.0
007 cr nn 008mamaa
008 120731s2013 xxk| s |||| 0|eng d
020 _a9781447141471
_9978-1-4471-4147-1
024 7 _a10.1007/978-1-4471-4147-1
_2doi
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
082 0 4 _a629.8
_223
100 1 _aIgnaciuk, Przemys�aw.
_eauthor.
245 1 0 _aCongestion Control in Data Transmission Networks
_h[electronic resource] :
_bSliding Mode and Other Designs /
_cby Przemys�aw Ignaciuk, Andrzej Bartoszewicz.
264 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2013.
300 _aXVI, 384 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aCommunications and Control Engineering,
_x0178-5354
505 0 _aIntroduction -- 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.
520 _aCongestion 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.
650 0 _aEngineering.
650 0 _aComputer communication systems.
650 0 _aCalculus of variations.
650 0 _aControl engineering.
650 0 _aElectrical engineering.
650 1 4 _aEngineering.
650 2 4 _aControl.
650 2 4 _aComputer Communication Networks.
650 2 4 _aCommunications Engineering, Networks.
650 2 4 _aCalculus of Variations and Optimal Control; Optimization.
700 1 _aBartoszewicz, Andrzej.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781447141464
830 0 _aCommunications and Control Engineering,
_x0178-5354
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4471-4147-1
912 _aZDB-2-ENG
942 _cEBK
999 _c57918
_d57918