异步串行网络的比例引导优化通信方法研究

发布时间：2018-04-16 18:19

本文选题：异步串行网络通信 + 比例引导优化　；参考：《计算机仿真》2015年11期

【摘要】：异步串行网络通信过程中,大量的串行网络站点和大规模的待处理信息存在无序性,缺少正确的引导通信过程使得传统的串行网络通信存在较大盲目性,在缺少引导的环境中,数据通信混乱,无法有序的完成长串数据通信,传输速率降低。提出基于免疫遗传算法的异步串行网络的比例引导优化通信方法。建立费用满意度函数、时延满意度函数、可靠性满意度函数以及综合满意度函数,构建异步串行网络的比例引导优化通信的满意度模型,对适合度函数进行评价,同时通过加入函数的传递性来对运算过程进行简化,在保证算法收敛精度的同时减少算法耗时。实验结果表明,采用改进算法进行异步串行网络通信的比例引导优化,能够提高系统处理效率,提高网络性能,具有优越性。
[Abstract]:In the process of asynchronous serial network communication, a large number of serial network stations and large-scale information to be processed exist disorder, the lack of correct guiding communication process makes the traditional serial network communication more blind, in the lack of boot environment.The data communication is chaotic, unable to complete the long data communication in an orderly manner, and the transmission rate is reduced.Based on immune genetic algorithm (IGA), a proportional guided optimization communication method for asynchronous serial networks is proposed.The cost satisfaction function, the delay satisfaction function, the reliability satisfaction function and the comprehensive satisfaction function are established, and the satisfaction model of proportional guidance optimization of asynchronous serial network is constructed, and the fitness function is evaluated.At the same time, by adding the transitivity of the function to simplify the operation process, the convergence accuracy of the algorithm is guaranteed and the time consuming of the algorithm is reduced.The experimental results show that using the improved algorithm to optimize the proportional guidance of asynchronous serial network communication can improve the processing efficiency of the system and improve the network performance.
【作者单位】：长春理工大学光电信息学院;
【分类号】：TP393.0

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