面向机器人多任务指令的数据传输拥塞控制

Data transmission congestion control for robot multitasking instructions

由于机器人处理能力有限,面对多任务指令时,经常发生数据传输拥塞问题。为此,提出了面向机器人多任务指令的数据传输拥塞控制方法。以数据传输资源消耗量和数据传输时延最小、数据传输路径链路利用程度最大为描述性指标,构建多目标函数并设置约束条件。利用免疫粒子群算法,求取拥塞控制目标的数据传输路径,得到面向机器人多任务指令的数据传输拥塞控制方案。实验结果表明,所研究方法的数据传输时延小,带宽利用率大,具有较好的数据传输拥塞控制效果,能够有效提高数据传输拥塞控制效率。

Due to the limited processing power of robots,data transmission congestion often occurs when facing multitasking instructions.Therefore,a data transmission congestion control method for robot multitasking instructions is proposed.Taking the minimum consumption of data transmission resources,data transmission delay,and maximum utilization of data transmission path links as descriptive indicators,a multi⁃objective function is constructed and constraints are set.Using immune particle swarm optimization algorithm,the data transmission path of the congestion control target is obtained,and a data transmission congestion control scheme for robot multitasking instructions is obtained.The experimental results show that the proposed method has low data transmission delay,high bandwidth utilization,and good data transmission congestion control effect,which can effectively improve data transmission congestion control efficiency.