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Adaptive threshold-based link status update mechanism

  • Tae Il Kim
  • , Jeong Ju Yoo
  • , Hae Won Jung
  • , Hyeong Ho Lee
  • , Min Young Chung
  • , Seong I.L. Jin
  • Electronics and Telecommunications Research Institute
  • Chungnam National University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The current Internet Protocol (IP)-based networks face tremendous requirements such as Quality of Service (QoS) guarantees, efficient Traffic Engineering (TE), network scalability, and high network performance, in accordance with the emergence of diverse Internet services. A constraint-based routing path is determined based on network topology and link state information to guarantee QoS. It is necessary for constraint-based routing to disseminate and update link state information. Throughput can be reduced due to processing link state update messages if link update messages are generated excessively. On the other side, route setup requests can be rejected even though there are available routes in case that link state information is not updated appropriately. This paper proposes a new adaptive threshold-based link status update mechanism to reduce the volume of link state update traffic and to provide QoS-guaranteed path. In addition, the performance of the proposed mechanism is evaluated via simulations.

Original languageEnglish
Title of host publication8th International Conference Advanced Communication Technology, ICACT 2006 - Proceedings
Pages888-891
Number of pages4
StatePublished - 2006
Event8th International Conference Advanced Communication Technology, ICACT 2006 - Phoenix Park, Korea, Republic of
Duration: 20 Feb 200622 Feb 2006

Publication series

Name8th International Conference Advanced Communication Technology, ICACT 2006 - Proceedings
Volume1

Conference

Conference8th International Conference Advanced Communication Technology, ICACT 2006
Country/TerritoryKorea, Republic of
CityPhoenix Park
Period20/02/0622/02/06

Keywords

  • Blocking probability
  • Link state update
  • Link-usage statistics
  • QoS routing
  • Update rate

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