An improved ant colony algorithm-based scheme for dynamic routing and wavelength assignment in optical networks

Cheng Xi; Shen Jianhua; Yang Fan; Liang Bing; Yu Fei

doi:10.13756/j.gtxyj.2011.05.008

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An improved ant colony algorithm-based scheme for dynamic routing and wavelength assignment in optical networks

- An improved ant colony algorithm-based scheme for dynamic routing and wavelength assignment in optical networks
- Study on Optical communication Issue 5, Pages: 1-3(2011)
- 作者机构：
  
  南京邮电大学通信与信息工程学院
- 作者简介：
- 基金信息：
- DOI：10.13756/j.gtxyj.2011.05.008
  CLC： TN929.1
- Published：2011，
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[1]程希,沈建华,杨帆,梁兵,于飞.一种基于改进蚁群算法的光网络动态RWA机制[J].光通信研究,2011(05):1-3.

Cheng Xi, Shen Jianhua, Yang Fan, et al. An improved ant colony algorithm-based scheme for dynamic routing and wavelength assignment in optical networks. [J]. (5):1-3(2011)
[1]程希,沈建华,杨帆,梁兵,于飞.一种基于改进蚁群算法的光网络动态RWA机制[J].光通信研究,2011(05):1-3. DOI： 10.13756/j.gtxyj.2011.05.008.

Cheng Xi, Shen Jianhua, Yang Fan, et al. An improved ant colony algorithm-based scheme for dynamic routing and wavelength assignment in optical networks. [J]. (5):1-3(2011) DOI： 10.13756/j.gtxyj.2011.05.008.

摘要

动态RWA（路由与波长分配）问题是智能光网络的核心问题。文章提出一种解决动态RWA问题的改进蚁群算法

在转移概率中加入了链路的空闲率作为约束条件

同时还引入了随机扰动防止搜索过早收敛于局部最优路径。仿真结果表明

改进算法与传统Dijkstra+FF（首次命中）算法相比

可以显著降低阻塞率

提高资源利用率。

Abstract

Dynamic Routing and Wavelength Assignment（RWA） is a key issue in intelligent optical networks.This paper presents an improved ant colony algorithm to tackle this issue

in which link idleness probability is added to the ant transition probability as a constraint and simultaneously random disturbances are introduced to prevent premature convergence of searches into the optimal local path.Simulation results show that compared with the conventional Dijkstra+FF algorithm

the modified algorithm significantly decreases the blocking probability and increases the resources utilization rate.

关键词

智能光网络路由与波长分配蚁群算法阻塞率

Keywords

intelligent optical networkRWAant colony algorithmblocking probability

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