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A Neural Network Method for Traffic Dispersion
引用本文:Feng Gang and Liu Zemin (Department of Radio Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,P. R. China). A Neural Network Method for Traffic Dispersion[J]. 中国邮电高校学报(英文版), 1998, 0(1)
作者姓名:Feng Gang and Liu Zemin (Department of Radio Engineering  Beijing University of Posts and Telecommunications  Beijing 100876  P. R. China)
作者单位:Department of Radio Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,P. R. China
摘    要:1IntroductionTraficdispersion[1],whichmeansthetraficisdistributedovermultiplepathsandtransmitedinparalel,isusedtoimprovethene...


A Neural Network Method for Traffic Dispersion
Feng Gang and Liu Zemin. A Neural Network Method for Traffic Dispersion[J]. The Journal of China Universities of Posts and Telecommunications, 1998, 0(1)
Authors:Feng Gang and Liu Zemin
Abstract:In packet switched communication networks, traffic between any source destination (SD) pair is expected to be transmitted over multiple paths. In this paper, we focus on the problem how to optimally distribute the load on a set of paths so that the overall network performance is maximized. This problem is first formulated as a nonlinear programming problem and then we propose a neural network (NN) to solve it. The NN architecture is discussed in detail. At last, we verify the effectiveness of our approach by applying it to a specific network model. The experimental results demonstrate that our method can yield optimal solutions with good stability.
Keywords:traffic dispersion   neural network   packet switched network
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