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Dynamic anycast routing and wavelength assignment in WDM networks using ant colony optimization (ACO)

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Article a congrés ICC 2011 (231,5Kb) (Restricted access)   Request copy 

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10.1109/icc.2011.5962826
 
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hdl:2117/13723

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Bhaskaran, Kavitha
Triay Marquès, Joan
Vokkarane, Vinod M.
Document typeConference lecture
Defense date2011
PublisherIEEE Press. Institute of Electrical and Electronics Engineers
Rights accessRestricted access - publisher's policy
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
Abstract
Ant colony optimization (ACO) is a probabilistic technique used for solving complex computational problems, such as finding optimal routes in networks. It has been proved to perform better than simulated annealing and genetic algorithm approaches for solving dynamic problems. ACO algorithms can quickly adapt to real-time changes in the system. In this paper, we propose an ACO-based algorithm to solve the dynamic anycast routing and wavelength assignment (RWA) problem in wavelength-routed optical networks. Using extensive simulations, we show that ACO-based anycast RWA significantly reduces blocking probability compared to the fixed shortest-path first (SPF) and other load-balancing and dynamic algorithms.
CitationBhaskaran, K.; Triay, J.; Vokkarane, V.M. Dynamic anycast routing and wavelength assignment in WDM networks using ant colony optimization (ACO). A: IEEE International Conference on Communications (ICC). "2011 IEEE International Conference on Communications". Kyoto: IEEE Press. Institute of Electrical and Electronics Engineers, 2011, p. 1-6. 
URIhttp://hdl.handle.net/2117/13723
DOI10.1109/icc.2011.5962826
Publisher versionhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5962826
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