A Novel Fast Multicast Algorithm with Enhanced Survivability in WDM Optical Networks
Authors: Junjie Li1; Hanyi Zhang2; Bingkun Zhou2; Yili Guo2
Source: Photonic Network Communications, Volume 8, Number 2, September 2004 , pp. 223-232(10)
Publisher: Springer
Abstract:
WDM optical networking technology is expected to facilitate bandwidth-intensive multicast application by establishing a light-tree which regards the source node as the root and all the destination nodes as the leaves. However, the existing multicast routing algorithms are time-consuming and the generated light-trees are very sensitive to failures, e.g., a single fiber cut can disrupt the information from transmitting to several terminals. In this paper, we propose a novel fast multicast algorithm with enhanced survivability (FMES), which applies a two-stage multicast routing approach, and employs a path protection scheme for each segment of the first stage tree. Analysis and experimental results show that FMES has the significant advantage of a much shorter running time than that in existing schemes, and this advantage can be enlarged in the distributed routing and signaling system of the coming intelligent optical networks. We also compare FMES with non-protection and full-protection schemes. It shows that the FMES scheme achieves the best trade-off between network survivability and resource-utilization. We illustrate our study with numerical experiments based on the real-life ChinaNet topology.Keywords: WDM networks; multicast; routing; segment protection; survivability
Document Type: Research article
DOI: http://dx.doi.org/10.1023/B:PNET.0000033980.25083.dc
Affiliations: 1: Department of Electronic Engineering, Tsinghua University, China, 100084 lijunjie00@mails.tsinghua.edu.cn, Email: lijunjie00@mails.tsinghua.edu.cn 2: Department of Electronic Engineering, Tsinghua University, China, 100084
Publication date: 2004-09-01
- In this: publication
- By this: publisher
- In this Subject: General & Civil Engineering , Physics (General)
- By this author: Junjie Li ; Hanyi Zhang ; Bingkun Zhou ; Yili Guo

Shopping cart
Receive new issue alert