Decentralized Control of Dynamic Routing with a Neural Network Algorithm

被引：0
|
作者：
XIN Zhan-hong
机构：
来源：
The Journal of China Universities of Posts and Telecommunications | 2000年 / Z1期
关键词：
neural network; circuit-switched network; dynamic routing; decentralized control;
D O I：
暂无
中图分类号：
TN911 [通信理论];
学科分类号：
081002 ;
摘要：
A state-dependent routing algorithm based on the neural network model, which takes advantage of other dynamic routing algorithm for circuit-switched network, is given in [1]. But, the Algorithm in [1] is a centralized control model with complex O (N 7), therefore, is difficult to realize by hardware. A simplified algorithm is put forward in this paper, in which routing can be controlled decentralizedly, and its complexity is reduced to O (10N 3). Computer simulations are made in a fully connected test network with eight nodes. The results show that the centralized control model has very effective performance that can match RTNR, and the centralized control model is not as good as the centralized one but better than DAR-1.
引用
收藏
页码：46 / 50
页数：5
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