Route reinforcement for efficient QoS routing based on Ant algorithm

Jae Seuk Oh, Sung Il Bae, Jin Ho Ahn, Sungho Kang

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Citations (Scopus)

Abstract

In this paper, we present a new method to calculate reinforcement value in QoS routing algorithm for real-time multimedia based on Ant algorithm to efficiently and effectively reinforce ant-like mobile agents to find the best route toward destination in a network. Simulation results show that the proposed method realizes QoS routing more efficiently and more adaptively than those of the existing method thereby providing better solutions for the best route selection.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsHyun-Kook Kahng, Shigeki Goto
PublisherSpringer Verlag
Pages342-349
Number of pages8
ISBN (Print)3540230343
DOIs
Publication statusPublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3090
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Oh, J. S., Bae, S. I., Ahn, J. H., & Kang, S. (2004). Route reinforcement for efficient QoS routing based on Ant algorithm. In H-K. Kahng, & S. Goto (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 342-349). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3090). Springer Verlag. https://doi.org/10.1007/978-3-540-25978-7_35