Performance optimization of intelligent optical networks by multiple alternate routes based on the K-shortest path algorithm

被引:0
|
作者
Cu, Xinyou [1 ]
Zheng, Xiaoping [1 ]
Zhang, Hanyi [1 ]
Li, Yanhe [1 ]
Guo, Yili [1 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
Routing and Wavelength Assignment; K-Shortest Path Algorithm; Dynamic K-Shortest Path Algorithm; Linear Link Weight Function; Piecewise Linear Link Weight Function; Blocking Probability;
D O I
10.1117/12.691159
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Blocking probability is one of the key factors to evaluate the routing and wavelength algorithms for intelligent optical network. Two kinds of Dynamic K-Shortest Path (DKSP) Algorithms were designed. One is based on Linear Link Weight Function (LW) and the other is based on Piecewise Linear Link Weight Function (PLW). It was found that the two kinds of DKSP can significantly decrease the blocking probability of optical network comparing to the static KSP for the same number of alternate routes. Compared to routing with LW, the coefficient of PLW has larger effect on the blocking probability of optical network when the number of alternate route is small, but the effect is weakened with the increase of the number of alternate route. As far as the two kinds of DKSP algorithms are concerned, DKSP with PLW has some advantage over DKSP with LW on decreasing the blocking probability. It was also found that the optimized performance can almost be got by DKSP with only 2-4 alternate routes for NSFNET.
引用
收藏
页数:8
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