光网络中个性化移动学习路径自动生成技术研究

Research on automatic generation of individualized mobile learning path in optical networks

为了提高光网络中个性化移动学习过程中路径信息传输性能,降低路径损耗,提出一种基于移动Agent能量平衡环形路由算法(EBRRMA)的光网络中个性化移动学习路径自动生成技术。构建光网络的个性化移动学习路径的分布结构模型,结合转发路由节点部署方法进行路径传输信道特征分析,采用环形路由探测技术进行个性化移动学习路径的迁移处理,结合负载均衡控制方法进行光网络个性化移动学习路径分配中信道自适应调度设计,采用鲁棒性预测方法分析光网络中个性化移动学习路径的吞吐性能,以网络跳数最小为约束代价,进行移动学习路径的路由探测控制设计,采用能量平衡环形路由算法实现光网络中个性化移动学习路径的能量配置均衡设计,生成最优的移动学习路径。仿真结果表明,采用该方法进行光网络中个性化移动学习路径生成设计,降低了网络开销和跳数,网络传输时延得到有效控制,提高了网络输出的稳定性和均衡性。

In order to improve the performance of path information transmission in the process of personalized mo- bile learning in optical networks,an automatic generation technology of personalized mobile learning paths in optical networks based on mobile Agent energy balance circular routing algorithm ( EBRRMA) is proposed. The distributed structure model of personalized mobile learning path in optical network is constructed,and the characteristic of path transmission channel is analyzed by combining the deployment method of forwarding route node,and the migration of personalized mobile learning path is processed by ring route detection technology. Combined with load balancing control method,channel equalization is designed for personalized mobile learning path allocation in optical networks. Robust prediction method is used to analyze the throughput performance of personalized mobile learning paths in optical net- works,and the minimum number of hops is taken as the constraint cost. The route detection control of mobile learning path is designed,and the energy allocation equilibrium design of personalized mobile learning path in optical network is realized by energy balance ring routing algorithm,and the optimal mobile learning path is generated. Simulation re- sults show that this method is used to design personalized mobile learning path in optical networks,which reduces net- work overhead and hops,effectively controls network transmission delay,and improves the stability and equalization of network output.