异步传输模式下光网络异常数据监测方法研究  

Research on optical network abnormal data monitoring in asynchronous transfer mode

作　　者：苏庭波[1] 李鸿雁[2] 李芳菊 SU Tingbo1, LI Hongyan2, LI Fangju3(1. School of Computer Engineering, Shangqiu University, Shangqiu Henan 476000, China; 2. Applied Science and Technology College, Shangqiu University, Kaifeng Henan 475000, China; 3. Zhongyuan Institute of Teehnology, College of Information ＆ Bussiness, Zhengzhou 451191, China)

机构地区：[1]商丘学院计算机工程学院,河南商丘476000 [2]商丘学院应用科技学院,河南开封475000 [3]中原工学院信息商务学院信息技术系,郑州451191

出　　处：《激光杂志》2018年第11期143-147,共5页Laser Journal

基　　金：河南省科技厅项目(No.182102210511)

摘　　要：针对目前光网络异常数据监测方法存在的监测能耗高、延时长、准确性差的问题,提出异步传输模式下光网络异常数据监测方法。利用构建异步传输模式光网络平稳状态下数据处理模型,得到常规的样本特征矢量,依据冗余数据分布特性去除光网络中的冗余数据,通过CMA-RBF对异步传输模式下光网络异常数据进行监测。实验结果表明,本文方法监测延时短、能耗低,监测准确率,识别异常数据的准确率达到98. 5%以上,而且整体性能优于当前其它方法,研究结果对该领域发展具有一定的借鉴意义。In view of the problems of high energy consumption,long delay and poor accuracy in monitoring methods of abnormal data in optical network,a method for monitoring abnormal data of optical networks in asynchronous transmission mode is proposed. Using the data processing model in the smooth state of asynchronous transmission mode,the conventional sample feature vectors are obtained,and redundant data in the optical network are removed according to the redundant data distribution characteristics. The abnormal data of optical network under asynchronous transmission mode are monitored through CMA-RBF. The experimental results show that this method has short time delay,low energy consumption,accurate rate of monitoring,and the accuracy rate of identifying abnormal data is above 98.5%,the overall performance is better than the other methods,and the research results have certain reference significance for the development in this field.

关 键 词：异步传输 光网络 异常数据 采集 监测 

分 类 号：TN929[电子电信—通信与信息系统]