QoS routing by genetic algorithm for LEO satellite networks

  • Xuedong Zhang
  • , Longhua Ding
  • , Yuan Rao

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

5 Scopus citations

Abstract

Due to the varying population density, some ISLs of satellite networks are congested while others are underutilized. To satisfy the QoS requirements of multimedia applications, satellite routing protocols should consider the issue of improving the utilization of network resource and providing better QoS guarantees such guaranteed end-to-end delay bound as new call blocking probability (CBP) and handover call blocking probability (HBP). This paper proposes a QoS routing protocol for LEO satellite networks using genetic algorithm. This protocol is called as Genetic Satellite Routing Protocol (GSRP). Some key factors including Fitness Function, Termination Function, and Routing Table, are newly taken into account. Simulation results show that GSRP is to achieve (1) guaranteed end-to-end delay bound with less CBP and HBP, and (2) more effective than traditional algorithms for load balancing.

Original languageEnglish
Title of host publicationISCID 2009 - 2009 International Symposium on Computational Intelligence and Design
Pages341-344
Number of pages4
DOIs
StatePublished - 1 Dec 2009
Externally publishedYes
Event2009 International Symposium on Computational Intelligence and Design, ISCID 2009 - Changsha, Hunan, China
Duration: 12 Dec 200914 Dec 2009

Publication series

NameISCID 2009 - 2009 International Symposium on Computational Intelligence and Design
Volume1

Conference

Conference2009 International Symposium on Computational Intelligence and Design, ISCID 2009
Country/TerritoryChina
CityChangsha, Hunan
Period12/12/0914/12/09

Keywords

  • Genetic algorithm
  • QoS
  • Routing
  • Satellite networks

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Software

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