APPROXIMATE ON-LINE IMPLEMENTABLE ALGORITHMS FOR DYNAMIC ROUTING IN COMMUNICATION NETWORKS.

Stassinopoulos, GI

dc.contributor.author	Stassinopoulos, GI	en
dc.date.accessioned	2014-03-01T02:40:48Z
dc.date.available	2014-03-01T02:40:48Z
dc.date.issued	1986	en
dc.identifier.issn	01912216	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30236
dc.subject	Community Networks	en
dc.subject	Cost Function	en
dc.subject	Data Communication	en
dc.subject	Dynamic Routing	en
dc.subject	Linear Model	en
dc.subject	Optimal Solution	en
dc.subject.other	CONTROL SYSTEMS, OPTIMAL	en
dc.subject.other	DATA TRANSMISSION - Optimization	en
dc.subject.other	MATHEMATICAL TECHNIQUES - Algorithms	en
dc.subject.other	DYNAMIC ROUTING	en
dc.subject.other	MULTIDESTINATION DATA COMMUNICATION NETWORK	en
dc.subject.other	DIGITAL COMMUNICATION SYSTEMS	en
dc.title	APPROXIMATE ON-LINE IMPLEMENTABLE ALGORITHMS FOR DYNAMIC ROUTING IN COMMUNICATION NETWORKS.	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/CDC.1986.267406	en
heal.identifier.secondary	http://dx.doi.org/10.1109/CDC.1986.267406	en
heal.publicationDate	1986	en
heal.abstract	The dynamic routing problem in multiple-destination data communication network is addressed by minimizing the minimum-time cost functional associated with A. Segall's (1977) linear model. The optimal solution is characterized by examining the competition of bottlenecks associated with each destination. An algorithm for the multidestination problem proceedings through an iterative link-by-link optimization is presented. This algorithm in either its centralized or its distributed implementation is of exponential complexity and unsuitable for online application even for medium sized networks. A differential version of the same algorithm is investigated. Based on the solution corresponding to a given data set, a scheme is proposed for solving problems with data lying in the neighbourhood of the original set, thus reducing the computational burden for online applications.	en
heal.publisher	IEEE, New York, NY, USA	en
heal.journalName	Proceedings of the IEEE Conference on Decision and Control	en
dc.identifier.doi	10.1109/CDC.1986.267406	en
dc.identifier.spage	2077	en
dc.identifier.epage	2078	en