A multipopulation parallel genetic simulated annealing-based QoS routing and wavelength assignment integration algorithm for multicast in optical networks

被引:12
|
作者
Cheng, Hui [1 ]
Wang, Xingwei [2 ]
Yang, Shengxiang [1 ]
Huang, Min [2 ]
机构
[1] Univ Leicester, Dept Comp Sci, Leicester LE1 7RH, Leics, England
[2] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110004, Peoples R China
基金
英国工程与自然科学研究理事会; 中国国家自然科学基金;
关键词
Optical network; Multicast; Wavelength assignment; Multipopulation genetic simulated annealing algorithm; WDM NETWORKS;
D O I
10.1016/j.asoc.2008.09.008
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we propose an integrated Quality of Service (QoS) routing algorithm for optical networks. Given a QoS multicast request and the delay interval specified by users, the proposed algorithm can find a flexible-QoS-based cost suboptimal routing tree. The algorithm first constructs the multicast tree based on the multipopulation parallel genetic simulated annealing algorithm, and then assigns wavelengths to the tree based on the wavelength graph. In the algorithm, routing and wavelength assignment are integrated into a single process. For routing, the objective is to find a cost suboptimal multicast tree. For wavelength assignment, the objective is to minimize the delay of the multicast tree, which is achieved by minimizing the number of wavelength conversion. Thus both the cost of multicast tree and the user QoS satisfaction degree can approach the optimal. Our algorithm also considers load balance. Simulation results show that the proposed algorithm is feasible and effective. We also discuss the practical realization mechanisms of the algorithm. (c) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:677 / 684
页数:8
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