基于边缘云计算的光纤无线网络优化设计

为了提升网络边缘数据处理能力，满足终端大带宽和低时延的要求，构建了基于边缘基础设施的云计算平台，设计了具有动态带宽调整的光纤网络模型。提出了一种基于边缘云计算的时序优化算法，并将其应用于光纤无线网络。通过OPNET软件仿真分析了时序优化算法的传输时延均值，结果显示，优化后最大时延为43.1 ms，仅为传统方法的34.2%。实验对局域网内多个终端之间的数据通信进行分析，讨论了三种算法的传输能效、光纤信道利用率及传输能耗。实验结果显示，采用时序优化算法的测试结果具有明显改善，其传输能效提升了近1倍，边缘云数据传输时延均值信道利用率提升了约6.2%，网络传输能耗均值最优。该光纤无线网络模型及其优化算法在传输时延、信道利用率以及网络能耗方面具有明显提升。其在提升光纤通信链路选择及边缘端数据交互中具有一定的优势。

Optimal design of optical fiber wireless network based on edge cloud computing

In order to improve the data processing capabilities of network edge and meet the requirements of large bandwidth and low latency of the terminal, a cloud computing platform based on edge infrastructure is built, and an optical fiber network model is designed with dynamic bandwidth adjustment. A timing optimization algorithm based on edge cloud computing is proposed and applied to optical fiber wireless networks. The average transmission delay of the timing optimization algorithm is simulated and analyzed through OPNET software, and the results show that the maximum delay after optimization is 43.1 ms, which is only 34.2% of the traditional method. The experiment analyzes the data communication between multiple terminals in the local area network. The transmission efficiency, optical fiber channel utilization and transmission energy consumption of the three algorithms have been discussed. The experimental results show that the test results using the timing optimization algorithm have been significantly improved. Its transmission efficiency has increased by nearly double, the channel utilization rate of edge cloud data average transmission delay has increased by about 6.2%, and the network transmission energy consumption has the best value. The optical fiber wireless network model and its optimization algorithm have significant improvements in transmission delay, channel utilization, and network energy consumption. It has certain advantages in improving the selection of optical fiber communication links and data interaction at the edge.