DocumentCode :
2558244
Title :
Artificial Bee Colony model for routing and wavelength assignment problem
Author :
Rashedi, Arash ; Kavian, Yousef S. ; Ghassemlooy, Zabih
Author_Institution :
Dept. of Comput. Archit., Islamic Azad Univ., Dezful, Iran
fYear :
2011
fDate :
26-30 June 2011
Firstpage :
1
Lastpage :
5
Abstract :
In this paper a novel approach for modelling Routing and Wavelength Assignment (RWA) problem in wavelength-routed Dense Wavelength Division Multiplexing (DWDM) optical networks is proposed. A new idea based on Artificial Bee Colony (ABC) algorithm is introduced for solving RWA problem which is known to be an NP-hard problem. In the proposed ABC-RWA approach every food source represents a possible and feasible lightpath between each original and destination node pair in demand matrix. The positions of food sources are modified by some artificial bees in the population where the aim is to discover the places of food sources. The food source with the highest nectar value seems to be a solution which is evaluated by the fitness function. The simulation results demonstrate the ability and efficiency of proposed approach for solving RWA in real-world optical networks. The proposed approach could be extended for dynamic RWA schemes in real-time applications and employed by network resilience architectures.
Keywords :
optimisation; telecommunication network routing; wavelength assignment; wavelength division multiplexing; NP-hard problem; artificial bee colony model; dense wavelength division multiplexing optical networks; routing assignment problem; wavelength assignment problem; Algorithm design and analysis; Clustering algorithms; Optimization; Routing; Simulation; Wavelength assignment; Artificial Bee Colony algorithm; Intelligent systems; Optimization; Routing and Wavelength Assignment; Transparent Optical Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transparent Optical Networks (ICTON), 2011 13th International Conference on
Conference_Location :
Stockholm
ISSN :
2161-2056
Print_ISBN :
978-1-4577-0881-7
Electronic_ISBN :
2161-2056
Type :
conf
DOI :
10.1109/ICTON.2011.5970870
Filename :
5970870
Link To Document :
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