多通道通信网络数据跨层采集时序控制  

Multi Channel Communication Network Data Cross Layer Acquisition Timing Control

作　　者：童星[1] TONG Xing(Qingdao University of Technology,Linyi Shandong 273400,China)

机构地区：[1]青岛理工大学,山东临沂273400

出　　处：《计算机仿真》2021年第12期341-344,419,共5页Computer Simulation

摘　　要：通信网络数据采集量较大,且重复数据较多,如果直接在原始时序上采集,会导致数据特征观察不清,从而引起采集效率低、精准度不高等问题。为此提出多通道通信网络数据跨层采集时序控制方法。利用免疫遗传算法挖掘通信数据,获取最小支持度与最低可信度的表达式,以此在最大程度上剔除无用信息,实现跨层无冗余数据挖掘。根据数据挖掘结果结合最短路径原则,将数据采集问题转换为最优路径选择问题,通过对通信网络数据目标函数的计算分析采集原理。以上述原理为基础,设计时序控制逻辑,绘制工作时序图,形成时序控制方案。将拥塞度与延时性作为评价指标,分析实验结果可知,所提方法能够最大限度的发挥通信数据采集的效能,提高了采集的效率与准确性。During the communication network data collection, many duplicate data on the original time sequencewill lead to unclear observation of data characteristics and low collection efficiency and accuracy. Therefore, a methodto control the cross-layer acquisition time sequence of multi-channel communication network data was proposed. Theimmune genetic algorithm was used to mine the communication data and obtain the expression of minimum support de-gree and minimum credibility, and thus eliminating the useless information to the greatest extent. Thus, the crosslayer mining without redundant data was completed. According to the results of data mining and the principle of theshortest path, the problem of data acquisition was transformed into the problem of optimal path selection. After that,the principle of data acquisition was analyzed by calculating the data objective function of the communication network.Based on the above principle, the timing sequence control logic was designed. The timing sequence chart was drawn,and the timing control scheme was formulated. The congestion degree and time delay were taken as evaluationindexes. The experimental results show that the proposed method can maximize the efficiency of communication datacollection and improve the accuracy of collection.

关 键 词：通信网络 数据跨层采集 时序控制 免疫遗传算法 最小支持度 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]