An Improved Ant Colony Algorithm for Dynamic Traffic Grooming in Asynchronous Optical Packets Switching Networks
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.
Asynchronous Optical Packets Switching (AOPS) traffic grooming ant colony algorithm
Hengjian Tang Fuding Zhang Xiaolu Zhang Yu Zheng Ying Wang Junhua Qiu Xiaohan Sun
National Research Center for Optical Sensing/Communications Integrated Networking Southeast University,Nanjing 210096,China
国际会议
苏州
英文
1-4
2014-11-09(万方平台首次上网日期,不代表论文的发表时间)