Dynamic　Bandwidth　Allocation　Technique　in　ATM　Networks　Based　on　Fuzzy　Neural　Networks　and　Genetic　Algorithm  

作　　者：Zhang Liangjie Li Yanda Wang Pu (Dept of Automation Tsinghua University, Beijing 100084) 

出　　处：《通信学报》1997年第3期10-17,共8页Journal on Communications

摘　　要：ＤｙｎａｍｉｃＢａｎｄｗｉｄｔｈＡｌｏｃａｔｉｏｎＴｅｃｈｎｉｑｕｅｉｎＡＴＭＮｅｔｗｏｒｋｓＢａｓｅｄｏｎＦｕｚｙＮｅｕｒａｌＮｅｔｗｏｒｋｓａｎｄＧｅｎｅｔｉｃＡｌｇｏｒｉｔｈｍ①ＺｈａｎｇＬｉａｎｇｊｉｅＬｉＹａｎｄａＷａｎｇＰｕ（Ｄｅｐｔｏｆ...In this paper, a dynamic bandwidth allocation technique based on fuzzy neural networks(FNNs) and genetic algorithm(GA) is proposed for preventive congestion control in ATM network. The traffic model based on FNN does not need the descriptive traffic parameters in detail, which greatly depend on the user's terminal. Genetic algorithm is used to predict the equivalent bandwidth of the accepted traffic in real time. Thus, the proposed scheme can estimate the dynamic bandwidth of the network in the time scale from the call arrival to the call admission/rejection due to the fuzzy tech and GA hardware implementation. Simulation results show that the scheme can perform accurate dynamic bandwidth allocation to ON/OFF bursty traffic in accordance with the required quality of service(QOS), and the bandwidth utilization is improved from the overall point of view.

关 键 词：模糊神经网 动态带宽分配 异步传输网 基因算法 

分 类 号：TN915.2[电子电信—通信与信息系统]