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Reinforcement Method to Enhance Adaptive Route Search for Efficient Real-Time Application Specific QoS Routing  

Oh, Jae-Seuk (Yonsei University, Electrical and Electronic Engineering)
Bae, Sung-Il (Yonsei University, Electrical and Electronic Engineering)
Ahn, Jin-Ho (Yonsei University, Electrical and Electronic Engineering)
Sungh Kang (Yonsei University, Electrical and Electronic Engineering)
Publication Information
Journal of the Institute of Electronics Engineers of Korea TC / v.40, no.12, 2003 , pp. 71-82 More about this Journal
Abstract
In this paper, we present a new method to calculate reinforcement value in QoS routing algorithm targeted for real-time applications based on Ant algorithm to efficiently and effectively reinforce ant-like mobile agents to find the best route toward destination in a network regarding necessary QoS metrics. 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 for real-time application that has high priority on delay jitter and bandwidth.
Keywords
Reinforcement value; Ant algorithm; mobile agent; QoS routing; Real-time applications;
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