物联网环境下光纤通信网络总线链路丢包率推断

Inference of packet loss rate of optical fiber communication network bus link under the environment of Internet of Things

光纤通信网络总线链路在应用过程中容易受到带宽限制,导致光纤通信网络链路丢包率检测精度差、推断效率低,不能满足用户数据传输需求。为此,提出物联网环境下光纤通信网络总线链路丢包率推断方法。根据光纤通信网络路由矩阵,获取物联网环境下光纤网络的通信状态,依据时序分析策略检测网络总线链路数据传输中的薄弱环节,分析不同时段间变量的关联性,建立线性回归模型,计算下个时段预测值,获取总线链路传输状态。计算每条线路的时空关联性,结合背景流量,采用最小二乘法推断链路丢包率。实验结果表明,所提方法的故障识别率高于95%,误差因子与相对误差在0.2和0.02以下,推断耗时低于2 ms,为光纤通信网络的数据传输提供参考。

The bus link of optical fiber communication network is easily limited by bandwidth in the application process,resulting in poor detection accuracy of packet loss rate of optical fiber communication network link,low inference efficiency,and unable to meet user data transmission requirements.Therefore,a packet loss rate inference method for optical fiber communication network bus link in the Internet of Things environment is proposed.According to the optical fiber communication network routing matrix,obtain the communication status of the optical fiber network under the Internet of Things environment,detect the weak links in the data transmission of the network bus link according to the time sequence analysis strategy,analyze the correlation of variables between different time periods,establish a linear regression model,calculate the predicted value of the next time period,and obtain the bus link transmission status.Calculate the spatio-temporal correlation of each line,combine with the background traffic,and use the least square method to deduce the link packet loss rate.The experimental results show that the fault identification rate of the proposed method is higher than 95%,the error factor and relative error are below 0.2 and 0.02,and the inference time is less than 2 ms,which provides a reference for data transmission in optical fiber communication network.