Neural network approach to multicast routing in real-time communication networks

Chotipat Pornavalai*, Goutam Chakraborty, Norio Shiratori

*この研究の対応する著者

    研究成果: Conference contribution

    31 被引用数 (Scopus)

    抄録

    Real-time communication networks are designed mainly to support multimedia applications, especially the interactive ones, which require a guarantee of Quality of Service (QoS). Moreover, Multicasting is needed as there are usually more than two peers who communicate together using multimedia applications. As for the routing, network has to find an optimum (least cost) multicast route, that has enough resources to provide or guarantee the required QoS. This problem is called QoS constrained multicast routing and was proved to be NP-complete problem. In contrast to the existing heuristic approaches, in this paper we propose a modified version of Hopfield neural network model to solve QoS (delay) constrained multicast routing. By the massive parallel computations of neural network, it can find near optimal multicast route very fast, when implemented by hardware. Simulation results show that the proposed model has the performance near to optimal solution and comparable to existing heuristics.

    本文言語English
    ホスト出版物のタイトルInternational Conference on Network Protocols
    Place of PublicationLos Alamitos, CA, United States
    出版社IEEE
    ページ332-339
    ページ数8
    出版ステータスPublished - 1995
    イベントProceedings of the 1995 International Conference on Network Protocols - Tokyo, Jpn
    継続期間: 1995 11 71995 11 10

    Other

    OtherProceedings of the 1995 International Conference on Network Protocols
    CityTokyo, Jpn
    Period95/11/795/11/10

    ASJC Scopus subject areas

    • ソフトウェア

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