基于模糊神经网络的战术互联网呼叫接纳控制  

Call Admission Control Based on Fuzzy Neural Network for Tactical Internet

作　　者：王晓凯[1] 侯朝桢[2] 

机构地区：[1]山西大学电子信息技术系,山西太原030006 [2]北京理工大学信息科学技术学院,北京100081

出　　处：《兵工学报》2005年第2期236-240,共5页Acta Armamentarii

基　　金：国防预研资助项目 ( 10 40 5 0 10 1-0 2 0 3 )

摘　　要：呼叫接纳控制是通信网络业务量控制中的一种预防式策略。针对战术互联网的特殊性 ,提出了基于模糊神经网络的战术互联网呼叫接纳控制模型和相应的算法。该方法用信元丢失率和时延来描述服务质量 ,符合军事通信网络的要求 ;体现了基于测量的接纳控制的基本思想 ,使模糊神经网络预测器能够及时地反映网络的当前状态 ,保证了呼叫接纳控制算法结果的准确性。Call admission control is a prevention tactics for the network traffic control. According to the particularity of the tactical internet, a model and its algorithm of call admission control based on fuzzy neural network were put forward in the paper. Using cell loss rate and delay time to describe the quality of service accord with the need of military communication networks in the model. It incarnates the basic thought of the measurement based admission control, and can make the fuzzy neural network reflect the current states of the network in time, and ensures the accuracy of results of the call admission control algorithm. At last, the results of the simulation experiment show the effectiveness and the advantages of the method.

关 键 词：呼叫接纳控制 战术互联网 军事通信网 信元丢失率 业务量控制 时延 通信网络 模糊神经网络 算法 预测器 

分 类 号：TN915[电子电信—通信与信息系统] TP393[电子电信—信息与通信工程]