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基于蚁群算法的WSON域间路由联合优化

Joint Optimization of inter-domain routing based on Ant Colony Algorithm in WSON

中文摘要英文摘要

电信网业务的多样化和高带宽趋势对下一代以WDM技术为基础的承载网在业务提供的效率和质量方面提出了新得挑战。同时,在WDM网络中引入智能的控制面(WSON,Wavelength Switched Optical Network)已经成为业界共识。然而,WSON网络中,控制平面仍有许多特殊问题需要面对和解决,在RWA(Routing and Wavelength Assignment)的层面则体现为路由计算中如何合理地考虑路由波长约束以及光损伤参数约束,另外在WDM光层如何进一步提高网络的保护和恢复能力也是业界重点研究的课题。本文提出了一种适用于WSON网络域间工作保护路由联合优化方案,通过对传统蚁群算法的改进,在最大限度挖掘网络中最优工作-保护路由对以提高网络生存性的同时,对网络进行流量疏导,并考虑物理损伤指标。

he trend of service diversification and high-bandth of next generation telecommunication application challenges the WDM based transport network in terms of efficiency and service quality. At the same time, the introduction of intelligent control plane in the WDM network (WSON, Wavelength Switched Optical Network) has become a consensus in the industry. While, in WSON based optical network, control plane has many special problems to be faced and resolved, including how to consider the routing constraints and physical layer parameters constraints in RWA (Routing and Wavelength Assignment); futhermore, how to further improve the network survivability draws a lot of attention of the industry. This paper presents a inter-domain routing algorithm for WSON to jointly optimize the working and protecting resources through improving the traditional ant colony algorithm, with the consideration of maximizing the searching of working and protecting route pair; traffic grooming and physical impairment performance is enhanced as well.

郭秉礼、黄善国、黄浩天

通信

WSONRWA生存性物理损伤

WSONRWAsurvivabilityphysicial impairment

郭秉礼,黄善国,黄浩天.基于蚁群算法的WSON域间路由联合优化[EB/OL].(2011-01-04)[2025-08-18].http://www.paper.edu.cn/releasepaper/content/201101-93.点此复制

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