An intelligent routing and CAC framework for large-scale networks based on cooperative agents

Leonard Barolli, Akio Koyama, Takako Yamada, Shoichi Yokoyama, Takuo Suganuma, Norio Shiratori

    Research output: Contribution to journalArticle

    12 Citations (Scopus)

    Abstract

    The routing algorithms can be classified into source, distributed and hierarchical routing. Source routing algorithms are conceptually simple, but they suffer from scalability problem. Distributed routing algorithms are more scalable, but loops may occur, which make the routing to fail. Hierarchical routing has been used to cope with the scalability problems of source routing in large internetworks. The hierarchical routing retains many advantages of source routing. It also has some advantages of distributed routing, because the routing computation is shared by many nodes. The traffic control methods for telecommunication networks must be adaptive, flexible, and intelligent. Use of intelligent algorithms based on fuzzy logic, genetic algorithms and neural networks can prove to be efficient for traffic control in telecommunication networks. In this paper, we propose an intelligent routing and Call Admission Control framework, which is based on cooperative agents. The proposed routing algorithm is a combination of source and distributed routing. It uses source routing inside a domain and hop-by-hop routing for inter-domain. The proposed framework is able to avoid flooding and routing loops, reduce the search space, and can be easily scaled-up to cope with large-scale networks. Performance evaluation via simulations shows that the proposed Fuzzy Admission Control and Intra Domain algorithm have better performance than the conventional methods.

    Original languageEnglish
    Pages (from-to)1429-1442
    Number of pages14
    JournalComputer Communications
    Volume25
    Issue number16
    DOIs
    Publication statusPublished - 2002 Oct 1

    Fingerprint

    Routing algorithms
    Traffic control
    Telecommunication networks
    Scalability
    Congestion control (communication)
    Access control
    Parallel algorithms
    Fuzzy logic
    Genetic algorithms
    Neural networks

    Keywords

    • Cooperative agents
    • Fuzzy logic
    • Genetic algorithms
    • Large-scale networks

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Electrical and Electronic Engineering

    Cite this

    Barolli, L., Koyama, A., Yamada, T., Yokoyama, S., Suganuma, T., & Shiratori, N. (2002). An intelligent routing and CAC framework for large-scale networks based on cooperative agents. Computer Communications, 25(16), 1429-1442. https://doi.org/10.1016/S0140-3664(02)00044-0

    An intelligent routing and CAC framework for large-scale networks based on cooperative agents. / Barolli, Leonard; Koyama, Akio; Yamada, Takako; Yokoyama, Shoichi; Suganuma, Takuo; Shiratori, Norio.

    In: Computer Communications, Vol. 25, No. 16, 01.10.2002, p. 1429-1442.

    Research output: Contribution to journalArticle

    Barolli, L, Koyama, A, Yamada, T, Yokoyama, S, Suganuma, T & Shiratori, N 2002, 'An intelligent routing and CAC framework for large-scale networks based on cooperative agents', Computer Communications, vol. 25, no. 16, pp. 1429-1442. https://doi.org/10.1016/S0140-3664(02)00044-0
    Barolli, Leonard ; Koyama, Akio ; Yamada, Takako ; Yokoyama, Shoichi ; Suganuma, Takuo ; Shiratori, Norio. / An intelligent routing and CAC framework for large-scale networks based on cooperative agents. In: Computer Communications. 2002 ; Vol. 25, No. 16. pp. 1429-1442.
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