Proposing bat inspired heuristic algorithm for the optimization of GMPLS networks

Masood, Mohsin and Fouad, Mohamed Mostafa and Glesk, Ivan (2017) Proposing bat inspired heuristic algorithm for the optimization of GMPLS networks. In: 25th Telecommunications Forum TELFOR 2017, 2017-11-21 - 2017-11-22, School of Electrical Engineering, University of Belgrade.

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Abstract

Introduction of modern and diverse applications in telecommunication field has raised challenges in networking area regarding efficient use of network resources and with optimizing performance. Therefore MPLS/GMPLS (Generalized multiprotocol label switching) networks were introduced to provide a better quality of service to meet users’ requirements as well as to optimize network resources. GMPLS networks use traffic engineering techniques for more efficient communication within the network and help to optimize network resources. This paper proposes BAT inspired metaheuristic algorithm for selecting an efficient route in MPLS/ GMPLS networks. In our investigation we considered routing costs as an objective function with goal to minimize it. The paper uses BAT algorithm with various levels of loudness parameter. The simulation results show performance improvements in MPLS/GMPLS networks of different size.

  • Item type:Conference or Workshop Item(Paper)
    ID code:62175
    Dates:
    Date
    Event
    21 November 2017
    Published
    27 October 2017
    Accepted
    October 2017
    Submitted
    Notes:(c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:30 Oct 2017 10:47
    Last modified:09 Apr 2024 06:24
    URI:https://strathprints.strath.ac.uk/id/eprint/62175
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