Service oriented networks - Dynamic distributed QoS routing framework

See Hwan Yoo, Hyuck Yoo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Routing algorithms have been using a single metric such as hop count in route calculation. The selected route is optimal only in the context of the metric used. In order to support diverse service requirements from users, there is a growing need where multiple metrics need to be taken into account in routing, especially in ad-hoc routing. This paper addresses ad-hoc routing with multiple metrics. We present a new framework called service oriented network in which users can specify routing metrics and the metrics are used in route calculation. Our approach is implemented in Linux kernel and the compared with AODV. Simulation study shows that using our framework, we can improve the network lifetime by 200%.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages196-206
Number of pages11
Volume3961 LNCS
Publication statusPublished - 2006 Dec 21
EventInternational Conference on Information Networking, ICOIN 2006 - Sendai, Japan
Duration: 2006 Jan 162006 Jan 19

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3961 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

OtherInternational Conference on Information Networking, ICOIN 2006
CountryJapan
CitySendai
Period06/1/1606/1/19

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ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Yoo, S. H., & Yoo, H. (2006). Service oriented networks - Dynamic distributed QoS routing framework. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3961 LNCS, pp. 196-206). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3961 LNCS).