摘要
以降低光通信网络干扰程度、实现信道均衡分配为目的,提出基于云计算平台的光通信网络信道均衡分配方法。构建基于云平台的光网络通信数据交互模型,使用改进粒子群算法计算光通信网络信道节点适应度函数值,选取光通信网络信道内连通性节点,求解信道动态邻域决策函数,实现光通信网络信道均衡分配。实验结果表明:该策略具备可靠性较强,可均衡分配聚集的光信号,使其呈现小堆聚集且规则分布状态,实现了信道均衡分配;该策略有效提升了光通信网络的吞吐量,降低了光通信节点对网络产生干扰程度。
In order to reduce the interference of optical communication network and realize the channel equilibrium distribution,a balanced channel allocation method for optical communication network based on cloud computing platform is proposed.Build an optical network communication data interaction model based on cloud platform;The improved particle swarm optimization algorithm is used to calculate the fitness function of the optical communication network channel nodes,and the connectivity nodes in the optical communication network channel are selected;The dynamic neighborhood decision function of the channel is solved to realize the balanced channel allocation of the optical communication network.The experimental results show that this method has high reliability and can distribute the aggregated optical signals evenly,making them appear in a small heap aggregation and regular distribution state;this method effectively improves the throughput of optical communication network and reduces the interference of optical communication nodes on the network.
作者
廖俊东
刘丹
LIAO Jundong;LIU Dan(Sichuan Institute of Industrial Technology,Deyang Sichuan 618000,China)
出处
《激光杂志》
CAS
北大核心
2023年第9期161-165,共5页
Laser Journal
基金
四川省科技厅项目(No.19ZDYF0724)。
关键词
云计算平台
光通信网络
信道均衡分配
粒子群算法
误差反传方法
cloud computing platform
optical communication network
channel equalization allocation
particle swarm optimization
error back propagation method