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Abstract

Modern communication networks have to be capable of responding to random fluctuations of requests and errors in different ways. One of them is traffic routing i.e. resource allocation. The designing of such networks (intelligent ones) and their management represent a challenge in mathematical, engineering and economic manner. This chapter describes the scheme of dynamic routing and the derived and presented model which is useful for dimensioning of initial link capacities as well as in the analysis of network stability. Emphasis is on the telephone network for G/G communication in ATM, for which the user’s requirements have been described together with the technical requirements that are necessary to support them. For the design of AGVN the usual methods of determining the telecommunication traffic are used. It should be emphasised, however, that there is a difference in relation to public telephone networks in that the calls in ATM are shorter and the recommended GoS value is lower (0.001). The chapter presents the necessary capacities for GoS value that is used in public networks and for the recommended GoS value for AGVN. The results show substantial savings in the number of channels. Since VCSs can distinguish the type of call and allocate priorities, for the dimensioning of the transmission link capacities a higher GoS value can be used, realizing at the same time a satisfactory Quality of Services for certain calls.


Original document

The different versions of the original document can be found in:

https://doaj.org/toc/0353-5320,
https://doaj.org/toc/1848-4069
https://hrcak.srce.hr/file/122118
http://dx.doi.org/10.7307/ptt.v21i2.213
https://trid.trb.org/view/889916,
https://core.ac.uk/display/14449388,
https://hrcak.srce.hr/file/122118,
https://hrcak.srce.hr/82122,
https://cdn.intechopen.com/pdfs/11479/InTech-Link_capacity_dimensioning_model_of_ats_ground_voice_network.pdf,
https://traffic.fpz.hr/index.php/PROMTT/article/view/213,
https://traffic.fpz.hr/index.php/PROMTT/article/download/213/118,
https://cdn.intechweb.org/pdfs/11479.pdf,
https://academic.microsoft.com/#/detail/2152012001
http://dx.doi.org/10.5772/9841


DOIS: 10.7307/ptt.v21i2.213 10.5772/9841

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Document information

Published on 01/01/2010

Volume 2010, 2010
DOI: 10.7307/ptt.v21i2.213
Licence: Other

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