Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2017, Vol. 40 ›› Issue (5): 87-91.doi: 10.13190/j.jbupt.2016-249

• Papers • Previous Articles     Next Articles

Multi-Source Optical Multicast Routing with Least Number of Optical Network Coding Links

WEI Cheng-ying, WU Lan, LIU Huan-lin, CHEN Yong   

  1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
  • Received:2016-09-30 Online:2017-10-28 Published:2017-11-21

Abstract: Network coding can improve the bandwidth utilization for multi-source optical multicast, but it increases optical storage and computation overhead in wavelengeh division multi-plexing networks. An improved adaptive genetic algorithm (IAGA) is proposed to minimize the number of optical network coding links for multicast. By designing the maximization difference crossover operation, IAGA can guarantee the diversity of population and avoid from falling into a local optimal. By adaptive adjusting the crossover probability, IAGA makes the population diverse at the beginning stages and makes the excellent individuals remain in a stable condition. Compared with other algorithms, the simulation results show that the proposed algorithm has fastest convergence speed, which means that it takes the shortest time to find the minimum numbers of optical coding link solutions.

Key words: multi-source optical networks, coding link, improved adaptive genetic algorithm, maximizing differences crossover, adaptive crossover probability

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