A resource reservation and traffic categorization agent for QoS in medical ad hoc networks

dc.contributor.author	Βάσσης, Δημήτριος	el
dc.contributor.author	Καμπουράκη, Α,	el
dc.contributor.author	Μπέλσης, Πέτρος	el
dc.contributor.author	Σκουρλάς, Χρήστος Π.	el
dc.date.accessioned	2015-05-21T09:13:03Z
dc.date.available	2015-05-21T09:13:03Z
dc.date.issued	2015-05-21
dc.identifier.uri	http://hdl.handle.net/11400/10823
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://www.sciencedirect.com/science/article/pii/S1877042813003704#	el
dc.subject	Ad hoc networks (Computer networks)
dc.subject	Quality of service (Computer networks)
dc.subject	Medical
dc.subject	Ιατρικό
dc.subject	Resource reservation
dc.subject	Κράτηση πόρων
dc.subject	Ποιότητα των υπηρεσιών
dc.title	A resource reservation and traffic categorization agent for QoS in medical ad hoc networks	en
heal.type	journalArticle
heal.generalDescription	Δημοσιευμένο και στο: 2nd International Conference on Integrated Information (IC-ININFO 2012)	el
heal.classification	Technology
heal.classification	Computer science
heal.classification	Τεχνολογία
heal.classification	Πληροφορική
heal.classificationURI	http://zbw.eu/stw/descriptor/10470-6
heal.classificationURI	http://skos.um.es/unescothes/C00750
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Πληροφορική
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh2007004723
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh2012001112
heal.identifier.secondary	doi:10.1016/j.sbspro.2013.02.077
heal.language	en
heal.access	campus
heal.recordProvider	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Tμήμα Μηχανικών Πληροφορικής Τ.Ε	el
heal.publicationDate	2013-02-27
heal.bibliographicCitation	Vassis, D., Kampouraki, A., Belsis, P. and Skourlas, C. (2013). A resource reservation and traffic categorization agent for QoS in medical ad hoc networks. In Proceedings of the 2nd International Conference on Integrated Information (IC-ININFO 2012), Budapest, Hungary, August 30 – September 3, 2012. "Procedia - Social and Behavioral Sciences", vol.73, 27 February 2013. pp. 460–466. Available from: http://www.sciencedirect.com/science/article/pii/S1877042813003704#. [Accessed 09/04/2013]	en
heal.abstract	One of the most sensitive and demanding types of network traffic is the one concerning medical information. Unlike other cases, medical data are distinguished in many different types, and the traffic generated by each one of them has different resource demands and requires different levels of reliability. On the other hand, in ad hoc networks, which constitute the most rapid and straight solution for communication and data exchange in conditions of crisis, bandwidth availability is limited, while QoS guarantees are difficult to be provided. Given this context, an intelligent agent is designed in this paper, suitable for ad hoc networks, which categorizes medical traffic in classes, and reserves bandwidth according to each node's needs. The whole operation is based on a sophisticated algorithm that calculates the optimal paths in each case and reconfigures the nodes’ routing tables. Experimental results through simulation show that the agent can guarantee strict limits of bandwidth reservation and high levels of reliability, for all types of medical traffic.	en
heal.journalName	Procedia - Social and Behavioral Sciences	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true