DocumentCode :
548639
Title :
Probability based dynamic-alternate routing algorithm in all-optical WDM networks
Author :
Wang, Sheng-Wei
Author_Institution :
Dept. of Appl. Inf., Fo Guang Univ., Yilan, Taiwan
fYear :
2011
fDate :
15-17 June 2011
Firstpage :
435
Lastpage :
440
Abstract :
This paper proposes a new dynamic-alternate routing algorithm for all-optical WDM networks without wavelength conversion in order to reduce the connection blocking probability. The main idea in the proposed dynamic-alternate routing algorithm is to try to route the traffics according to a predefined optimal probability distribution. The problem for finding the optimal probability distribution has been shown as a convex optimization problem. The problem can be solved by flow deviation method or other standard optimization techniques. The simulation results show that the proposed routing algorithm yields lower connection blocking probabilities than the previous works as well as the proposed routing algorithm produces similar traffic pattern as the optimal traffic pattern. The similarity between the traffic pattern produced by the proposed dynamic-alternate routing algorithm and the optimal traffic pattern can be further used for solving other network designing problems.
Keywords :
optical fibre networks; optimisation; probability; telecommunication network routing; telecommunication traffic; wavelength division multiplexing; all-optical WDM networks; connection blocking probability; convex optimization problem; flow deviation method; network designing problems; optimal probability distribution; probability based dynamic-alternate routing algorithm; standard optimization techniques; traffic pattern; wavelength conversion; Algorithm design and analysis; Approximation methods; Heuristic algorithms; Optical wavelength conversion; Optimization; Routing; WDM networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Telecommunications (ConTEL), Proceedings of the 2011 11th International Conference on
Conference_Location :
Graz
Print_ISBN :
978-1-61284-169-4
Electronic_ISBN :
978-3-85125-161-6
Type :
conf
Filename :
5969969
Link To Document :
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