NDLI: Wavelength converter placement under a dynamic RWA algorithm in wavelength-routed all-optical networks

Content Provider	IEEE Xplore Digital Library
Author	Xiaowen Chu Bo Li Jiangchuan Liu Lizhong Li
Copyright Year	2002
Description	Author affiliation: Dept. of Comput. Sci., Hong Kong Univ. of Sci. & Technol., China (Xiaowen Chu; Bo Li; Jiangchuan Liu; Lizhong Li)
Abstract	Sparse wavelength conversion and an appropriate routing and wavelength assignment (RWA) algorithm are two key factors in improving the blocking performance in wavelength-routed all-optical networks. It has been shown that the optimal placement of a limited number of wavelength converters in an arbitrary mesh network is an NP complete problem. Various heuristic algorithms have been proposed in which most assume that a static routing and random wavelength assignment algorithm is employed. However, existing works show that dynamic RWA algorithms can achieve significantly better performance. Our study further demonstrates that wavelength converter placement and RWA algorithms are closely related in that a well designed wavelength converter placement mechanism for a particular RWA algorithm might not work well with a different RWA algorithm. Our objective is to investigate wavelength converter placement under dynamic routing algorithms. Specifically, we propose a heuristic algorithm called weighted maximum segment length (WMSL) algorithm for limited wavelength converter placement for arbitrary mesh networks under a dynamic RWA algorithm adopting least-loaded routing and first-fit wavelength assignment. The objective is to minimize the average blocking probability. Extensive simulation studies have been carried out over three typical mesh networks, including the 14-node NSFNET, 19-node EON and 38-node CTNET. We observe that the proposed WMSL algorithm not only outperforms existing wavelength converter placement algorithms by a large margin, but it can also achieve almost the same performance compared with full wavelength conversion under the same RWA algorithm.
Sponsorship	Chinese Inst. Commun Chinese Inst. Electron. Univ. Electron. Sci. & Technol. China
Starting Page	865
Ending Page	870
File Size	429207
Page Count	6
File Format	PDF
ISBN	0780375475
DOI	10.1109/ICCCAS.2002.1180749
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-06-29
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	All-optical networks Computer science Intelligent networks Mesh networks Network topology Heuristic algorithms Wavelength assignment Wavelength converters Wavelength routing Wavelength conversion
Content Type	Text
Resource Type	Article

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