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B-ISDN实时动态路由优化的神经网络方法
引用本文:南华 刘泽民. B-ISDN实时动态路由优化的神经网络方法[J]. 北京邮电大学学报, 1997, 20(2): 1-5
作者姓名:南华 刘泽民
作者单位:北京邮电大学无线电工程系
摘    要:提出了一种B-ISDN实时动态路由优化的神经网络方法。应用人工神经网络对B-ISDN网络的虚通路连接需求进行全局实时动态路由优化,协调全网的平均阻塞率和平均路由距离,提高网络资源利用率,降低网络费用,缩短呼叫建立时间。通过计算机模拟证明这种方法是非常有效的。

关 键 词:神经网络 虚通路连接 路由优化 B-ISDN

Neural Network Based Optimization in B ISDN Dynamic Real Time Routing
Nan Hua Liu Zemin. Neural Network Based Optimization in B ISDN Dynamic Real Time Routing[J]. Journal of Beijing University of Posts and Telecommunications, 1997, 20(2): 1-5
Authors:Nan Hua Liu Zemin
Abstract:A neural network optimization method in B ISDN real time dynamic routing is proposed. With neural network, the VCC (Virtual Channel Connection) can be dynamically optimized with real time for B ISDN.For example, we can balance the average call blocking rate against the average route distance of the entire network, improve the utilizing factor of network resoures, cut down the cost of network, and reduce the call setup time.Our simulation results show that the proposed method is very effective.
Keywords:neural network  virtual channel connection  route optimizing  
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