Analysis and optimization of a cross-layer adaptation mechanism for real-time applications in wireless networks

dc.contributor.author	Τριανταφυλλοπούλου, Διονυσία	el
dc.contributor.author	Πασσάς, Νίκος Ι.	el
dc.contributor.author	Ζέρβας, Ευάγγελος	el
dc.contributor.author	Μεράκος, Λάζαρος Φ.	el
dc.date.accessioned	2015-05-23T12:38:44Z
dc.date.available	2015-05-23T12:38:44Z
dc.date.issued	2015-05-23
dc.identifier.uri	http://hdl.handle.net/11400/10977
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://link.springer.com/	en
dc.subject	Adaptive modulation
dc.subject	Continuous flow model
dc.subject	Cross-layer design
dc.subject	Encoding mode
dc.subject	Προσαρμοστική διαμόρφωση
dc.subject	Μοντέλο συνεχούς ροής
dc.subject	Λειτουργία κωδικοποίησης
dc.title	Analysis and optimization of a cross-layer adaptation mechanism for real-time applications in wireless networks	en
heal.type	journalArticle
heal.classification	Technology
heal.classification	Electrical engineering
heal.classification	Τεχνολογία
heal.classification	Ηλεκτρολογία Μηχανολογία
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85133147
heal.classificationURI	http://zbw.eu/stw/descriptor/18426-4
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Ηλεκτρολογία Μηχανολογία
heal.identifier.secondary	DOI 10.1007/s11276-011-0352-9
heal.language	en
heal.access	campus
heal.publicationDate	2011-07
heal.bibliographicCitation	TRIANTAFYLLOPOULOU, D., PASSAS, N.I., ZERVAS, E. & MERAKOS, L.F. (2011). Analysis and optimization of a cross-layer adaptation mechanism for real-time applications in wireless networks. Wireless Networks. [online] 17 (5). p. 1339-1354. Available from: http://link.springer.com/	en
heal.abstract	The theoretical analysis of a cross-layer mechanism for improving the quality of service of real-time applications in wireless networks is presented. The mechanism coordinates adaptations of the modulation order at the Physical layer and the media encoding mode at the Application layer, to improve packet loss rate, throughput and mean delay. With the use of Continuous Flow Modeling, the system is considered as a "fluid" queue with inflow and outflow rates representing its traffic generation and service rates, respectively. Each data source is modeled as a Markov chain, from the steady-state of which the optimal adaptation thresholds of the cross-layer mechanism are derived. Extensive performance evaluation results show that the optimized operation of the mechanism attains a significant performance improvement compared to both the sub-optimal case, and a legacy system, which adjusts the modulation order and encoding mode separately and independently of each other.	en
heal.publisher	Springer Verlag	en
heal.journalName	Wireless Networks	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true