摘要
光通信网络信道均衡是优化光通信效果的关键。为了有效节约光通信网络信道的能量开销、实现通信信道均衡,提出基于云计算平台的光通信网络信道均衡方法。利用云计算平台的分布式处理节点,设计光通信系统的分析平台结构。基于云计算平台搭建网络节点的能耗计算模型,获得光通信系统信道总能耗。创新性地计算信道的能量衰减程度修正值,采用节点自适应接收发送模式构建信道控制模型,获取进程节点与信息调度关系。通过光通信网络信道均衡方法确保网络信道合理优化,实现信道均衡。测试结果表明,该方法可以有效实现信道均衡,使数据传输成功率达到99.41%、能量开销低至18 kJ、传输时延低至12 ms、信道均衡丢包率低至1.82%。该方法减少了通信能量开销,实现了信道分配水平的优化。
Optical communication network channel balancing is the key to optimize the effect of optical communication.To effectively save the energy overhead of optical communication network channels and achieve communication channel balancing,the optical communication network channel balancing method based on cloud computing platform is proposed.Using the distributed processing nodes of the cloud computing platform,the analysis platform structure of the optical communication system is designed.The energy consumption calculation model of the network nodes based on the cloud computing platform is built to obtain the total energy consumption of the optical communication system channels.The energy decay degree correction value of the channel is innovatively calculated,the channel controling model using node adaptive receive and send mode is constructed,and the process node and information scheduling relationship is obtained.The optical communication network channel balancing method ensures reasonable optimization of network channels and achieves channel balancing.The test results show that the method can effectively achieve channel balancing with 99.41%data transmission success rate,low energy overhead of 18 kJ,low transmission delay of 12 ms,and low channel balancing packet loss rate of 1.82%.The method reduces the communication energy overhead and achieves the optimization of channel allocation level.
作者
李俊
LI Jun(Institute of Communication Engineering,Shaanxi Post and Telecommuniaction College,Xianyang 712000,China)
出处
《自动化仪表》
CAS
2023年第7期17-20,共4页
Process Automation Instrumentation
关键词
云计算
光通信网络
能耗模型
信道均衡
链路节点
分配优化
能量开销
信道控制
Cloud computing
Optical communication network
Energy consumption model
Channel balancing
Link nodes
Allocation optimization
Energy overhead
Channel control