基于旗鱼优化器的列车通信网络拓扑优化研究

Research on topology optimization of train communication network based on sailfish optimizer

针对现有列车通信网络流量分配不均和时延高的问题,建立一种基于旗鱼优化器的列车通信网络拓扑优化模型。首先,引入网络演算理论表征列车通信网络时延指标,利用负载方差描述负载均衡性,构建以拓扑成本为约束,网络时延和负载最小为目标的模型;然后,采用无向图抽象列车通信网络拓扑结构,提出基于旗鱼优化器的网络拓扑优化算法进行拓扑优化;最后,以8节编组的动车组为例,对其列车通信网络拓扑进行优化,并分析拓扑优化后的列车通信网络性能。仿真分析结果表明,相比于传统的总线型列车级网络拓扑,采用该算法对拓扑进行优化后,列车级网络拓扑的负载方差和网络时延分别降低了43%和24%。研究结果可为列车通信网络性能优化提供理论和实践参考。

Aiming at uneven traffic distribution and high time delay in the existing train communication network,a topology optimization model of train communication network based on sailfish optimizer established. First, the network calculus theory was introduced to characterize the delay index of train communication network, and the load variance was used to describe the load balance. A model with topology cost as the constraint and minimum network delay and load as the object was constructed. Then, the train communication network topology was abstracted by an undirected graph, and a network topology optimization algorithm was proposed based on sailfish optimizer for topology optimization. Finally, by taking the 8-section electric multiple units as an example, the train communication network topology was optimized, and train communication network after topology optimization was analyzed. Simulation analysis shows that compared with the traditional bus type train-level network topology, the load variance and network delay in the train-level network topology is reduced by 43% and24% after using the algorithm to optimize the topology, respectively. The research results can provide theoretical and practical references for the optimization of train communication network performance.