光纤通信网络中信息传输可靠性优化设计仿真

摘要

It can reduce the packet loss rate in the information transmission to improve the reliability of information transmission in the optical fiber communication network.The reliability optimization needs to code the information,and then divides and clusters the coded data.However,traditional method selects the coding form according to the local information in the network information.It does not cluster the coding information further.Therefore,it leads to poor reliability of information transmission.This paper proposes an optimization method for reliability of information transmission in the optical fiber communication network based on the K-mean value clustering.Firstly,the influence with different degrees of data packet with different precedence levels on the distortion of information communication is obtained,and the data packet with different precedence levels is clustered.Then,the data image is divided and clustered for coding integrated with the K-mean value clustering theory,and the self-similarity existing in the initial network data image is mined.Finally,one block of the divided data image is infinitely close to another block in the original image,and the reliability improvement of information transmission is achieved.The simulation results show that the method can improve the reliability of information transmission preferably and has high efficiency.%提高光纤通信网络中信息传输的可靠性,能够降低信息传输中的丢包率.信息传输的可靠性优化要通过对信息编码,再将编码数据进行划分聚类.传统方法依据网络信息中局部信息选取编码形式对信息编码,进一步未对编码信息分类,导致信息传输可靠性差.提出基于K-均值聚类的光纤通信网络信息传输可靠性优化方法.利用通信网络信息中数据包重要等级不同,得到不同优先等级的数据包对信息通信失真产生的不同程度影响,对不同优先等级数据包进行聚类处理,结合K-均值聚类理论将待编码数据图像进行划分聚类,通过挖掘原始网络数据图像中存在的自相似性,将数据图像划分的一个字块通过自仿射分形变换来无限靠近原图像中的另一个字块,实现光纤通信网络信息传输可靠性的提高.实验结果表明,所提方法能够较好地提高光纤通信网络中信息传输可靠性,且效率较高.