Simulation study of a heuristic near-maximum ant-based dynamic routing

A new ant-based routing is proposed for solving dynamic routing and wavelength assignment in mesh WDM network under the wavelength continuity constraint. The ant algorithm favors paths with maximum number of available wavelengths between two nodes, resulting in improved load balancing and less conge...

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Main Authors: Tan, Chin, Fouad, Abbou, Ewe, Tat
Format: Article
Published: ZARKA PRIVATE UNIV 2008
Subjects:
Online Access:http://shdl.mmu.edu.my/2655/
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author Tan, Chin
Fouad, Abbou
Ewe, Tat
author_facet Tan, Chin
Fouad, Abbou
Ewe, Tat
author_sort Tan, Chin
building MMU Institutional Repository
collection Online Access
description A new ant-based routing is proposed for solving dynamic routing and wavelength assignment in mesh WDM network under the wavelength continuity constraint. The ant algorithm favors paths with maximum number of available wavelengths between two nodes, resulting in improved load balancing and less congested shortest path. The simulation results showed that the proposed ant-based routing algorithm is highly reliable in the sense that the number of ants used is predictable to achieve a steady performance in terms of blocking probability.
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publishDate 2008
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spelling mmu-26552011-09-08T03:16:18Z http://shdl.mmu.edu.my/2655/ Simulation study of a heuristic near-maximum ant-based dynamic routing Tan, Chin Fouad, Abbou Ewe, Tat T Technology (General) QA75.5-76.95 Electronic computers. Computer science A new ant-based routing is proposed for solving dynamic routing and wavelength assignment in mesh WDM network under the wavelength continuity constraint. The ant algorithm favors paths with maximum number of available wavelengths between two nodes, resulting in improved load balancing and less congested shortest path. The simulation results showed that the proposed ant-based routing algorithm is highly reliable in the sense that the number of ants used is predictable to achieve a steady performance in terms of blocking probability. ZARKA PRIVATE UNIV 2008-07 Article NonPeerReviewed Tan, Chin and Fouad, Abbou and Ewe, Tat (2008) Simulation study of a heuristic near-maximum ant-based dynamic routing. INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY, 5 (3). pp. 230-233. http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=1&SID=Q11IECEn41nCPeiaHmd&page=76&doc=758
spellingShingle T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
Tan, Chin
Fouad, Abbou
Ewe, Tat
Simulation study of a heuristic near-maximum ant-based dynamic routing
title Simulation study of a heuristic near-maximum ant-based dynamic routing
title_full Simulation study of a heuristic near-maximum ant-based dynamic routing
title_fullStr Simulation study of a heuristic near-maximum ant-based dynamic routing
title_full_unstemmed Simulation study of a heuristic near-maximum ant-based dynamic routing
title_short Simulation study of a heuristic near-maximum ant-based dynamic routing
title_sort simulation study of a heuristic near-maximum ant-based dynamic routing
topic T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
url http://shdl.mmu.edu.my/2655/
http://shdl.mmu.edu.my/2655/