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