远程实时课件数据的异步传输更新仿真  

Asynchronous Transmission and Update Simulation of Remote Real-Time Courseware Data

作　　者：宋军平[1,2] 赵高丽 SONG Jun-ping;ZHAO Gao-li(Xinke College,Henan Institute of Science and Technology,Henan Xinxiang 453000,China;Henan Normal University,Henan Xinxiang 453007,China;Teaching Quality Control Center,Henan Institute of Science and Technolog,Henan Xinxiang 453000,China)

机构地区：[1]河南科技学院新科学院,河南新乡453000 [2]河南师范大学,河南新乡453007 [3]河南科技学院教学质量监控中心,河南新乡453000

出　　处：《计算机仿真》2020年第11期199-202,226,共5页Computer Simulation

基　　金：2019年度河南科技学院新科学院教育教学改革项目(09)。

摘　　要：针对当前远程实时课件数据在传输过程中,存在网络带宽窄传输速度慢,导致数据传输效率低、传输准确性差、网络数据流量损耗大的问题,提出了基于分流优化的数据异步传输更新算法。通过构建数据异步传输模型,采用位图传输法计算无线传感器网络接收率,并推算出数据的平均传输次数,评估数据链路质量,通过计算中心节点的自感阈值实现中心节点更换,并依靠网络数据输送的带宽状态及下一跳中心节点的能耗水准对异步数据采取分流优化,最终实现高效的数据异步传输。实验结果表明,所提算法的数据传输效率高,能够有效提高数据传输准确性,降低网络数据流量损耗。At present,the network bandwidth is narrow and the transmission speed is slow,resulting in low data transmission efficiency and transmission accuracy of remote real-time courseware data.Therefore,this paper presented an update algorithm for asynchronous data transmission based on split-flow optimization.After constructing the asynchronous data transmission model,the bitmap transmission method was used to calculate the reception rate of wireless sensor network and the average number of data transmission.Moreover,the quality of data link was evaluated,and then the central node was replaced by calculating the self-induced threshold.In addition,the bandwidth of network data transmission and the energy consumption of the next hop center node were used to optimize asynchronous data.Finally,efficient asynchronous data transmission was achieved.Simulation results show that the proposed algorithm has high efficiency of data transmission,so it can effectively improve data transmission accuracy and reduce network data traffic loss.

关 键 词：自感阈值 异步传输 数据链路 分流优化 

分 类 号：TP213[自动化与计算机技术—检测技术与自动化装置]