Route reinforcement for efficient QoS routing based on Ant algorithm

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

Research output: Contribution to journalArticle

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
Pages (from-to)342-349
Number of pages8
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3090
Publication statusPublished - 2004 Dec 1

Fingerprint

QoS Routing
Ant Algorithm
Reinforcement
Quality of service
Mobile agents
Routing algorithms
Mobile Agent
Routing Algorithm
Multimedia
Real-time
Calculate
Simulation

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

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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.",
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