通信网络传输数据断点区域智能检测方法研究

Research on Intelligent Detection Method of Breakpoint Area in Communication Network Transmission Data

现有检测方法对数据断点区域定位误差大、耗时长,难以实现无线网络环境下通信流断点区的高精度检测。针对现有检测方法的缺陷,提出了一种新的检测方法。根据数据断点区域信息特征分析,设定断点区域的距离阈值,运用聚类算法选取最优检测路径,通过计算反馈权值向量准确定位断点区域,实现大型通信网络断点的有效检测。实验结果表明,通过仿真数据集传输断点检测,能够提高检测效率和准确性,缩短检测耗时,确保通信网络数据传输的稳定性和可靠性。

The existing detection methods have large error and long time-consuming in locating data breakpoint area, which makes it difficult to achieve high-precision detection of communication flow breakpoint area in wireless network environment. In view of the shortcomings of existing detection methods, a new detection method is proposed. According to the analysis of information characteristics of data breakpoint region, the distance threshold of breakpoint region is set, the optimal detection path is selected by clustering algorithm, and the breakpoint region is accurately located by calculating the feedback weight vector to realize the effective detection of large communication network breakpoints. The experimental results show that the detection efficiency and accuracy can be improved, the detection time can be shortened, and the stability and reliability of data transmission in communication network can be ensured by the simulation data set transmission breakpoint detection.