Performance optimization with propagation delay analysis in WDM networks

Baziana, PA; Pountourakis, IE

dc.contributor.author	Baziana, PA	en
dc.contributor.author	Pountourakis, IE	en
dc.date.accessioned	2014-03-01T01:26:54Z
dc.date.available	2014-03-01T01:26:54Z
dc.date.issued	2007	en
dc.identifier.issn	0140-3664	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/18273
dc.subject	Asymmetric access rights	en
dc.subject	Multi-channel Control Architecture (MCA)	en
dc.subject	Propagation delay latency	en
dc.subject	Receiver collisions	en
dc.subject	Wavelength Division Multiplexing (WDM)	en
dc.subject.classification	Computer Science, Information Systems	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.classification	Telecommunications	en
dc.subject.other	Markov processes	en
dc.subject.other	Optimization	en
dc.subject.other	Systems analysis	en
dc.subject.other	Topology	en
dc.subject.other	Wavelength division multiplexing	en
dc.subject.other	Asymmetric access rights	en
dc.subject.other	Multi-channel Control Architecture (MCA)	en
dc.subject.other	Propagation delay latency	en
dc.subject.other	Receiver collisions	en
dc.subject.other	Computer networks	en
dc.title	Performance optimization with propagation delay analysis in WDM networks	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.comcom.2007.08.032	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.comcom.2007.08.032	en
heal.language	English	en
heal.publicationDate	2007	en
heal.abstract	In this study we attempt to analyze a synchronous transmission WDMA protocol for passive star topology based on the propagation delay latency effect. The introduction of propagation delay constitutes a serious parameter for WDM networks performance behavior and a realistic basis for the analysis. The proposed WDM network uses a Multi-channel Control Architecture (MCA) for two reasons: First to reduce the electronic processing bottleneck and second to optimize the performance measures by dynamically dividing the control channels into two groups according to the knowledge of the stations status (free or backlogged). In this way we develop a Markovian model for finite population with receiver collisions evaluation. (c) 2007 Elsevier B.V. All rights reserved.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	Computer Communications	en
dc.identifier.doi	10.1016/j.comcom.2007.08.032	en
dc.identifier.isi	ISI:000252533700012	en
dc.identifier.volume	30	en
dc.identifier.issue	18	en
dc.identifier.spage	3572	en
dc.identifier.epage	3585	en