DocumentCode :
1767658
Title :
An improved ant colony algorithm for dynamic traffic grooming in asynchronous optical packets switching networks
Author :
Hengjian Tang ; Fuding Zhang ; Xiaolu Zhang ; Yu Zheng ; Ying Wang ; Junhua Qiu ; Xiaohan Sun
Author_Institution :
Nat. Res. Center for Opt. Sensing/Commun. Integrated Networking, Southeast Univ., Nanjing, China
fYear :
2014
fDate :
9-10 Nov. 2014
Firstpage :
1
Lastpage :
4
Abstract :
We propose an improved ant colony algorithm for dynamic traffic grooming (IACA-DTG) in asynchronous optical packets switching networks, by using of the ratio of available wavelengths and path chosen length each iteration and the dynamic information updated on the available instant wavelengths in full network, which can implement traffic grooming under shorter path and less iterations. The algorithm has been evaluated through simulation and the results show the packets blocking probability can be reduced as 0.1 and wavelength utilization ratio can be increased as 0.2, compared with original ant colony algorithm.
Keywords :
ant colony optimisation; iterative methods; optical communication; packet switching; probability; telecommunication traffic; IACA-DTG; ant colony algorithm improvement; asynchronous optical packets switching networks; dynamic traffic grooming; iterations algorithm; packets blocking probability; wavelength utilization ratio; Algorithm design and analysis; Heuristic algorithms; Mathematical model; Mesh networks; Optical fiber networks; Optical packet switching; Routing; Asynchronous Optical Packets Switching (AOPS); ant colony algorithm; traffic grooming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Optical Communications and Networks (ICOCN), 2014 13th International Conference on
Conference_Location :
Suzhou
Type :
conf
DOI :
10.1109/ICOCN.2014.6987072
Filename :
6987072
Link To Document :
بازگشت