典型文献
Optimization and Design of Cloud-Edge-End Collaboration Computing for Autonomous Robot Control Using 5G and Beyond
文献摘要：
Robots have important applications in industrial production, transportation, environ-mental monitoring and other fields, and multi-robot collaboration is a research hotspot in recent years. Multi-robot autonomous collaborative tasks are limited by communication, and there are problems such as poor resource allocation balance, slow response of the system to dynamic changes in the environment, and limited collaborative operation capabilities. The combination of 5G and beyond communication and edge computing can effectively reduce the transmission delay of task offloading and improve task processing efficiency. First, this paper designs a robot autonomous col-laborative computing architecture based on 5G and beyond and mobile edge computing(MEC). Then, the robot cooperative computing optimization problem is studied according to the task char-acteristics of the robot swarm. Then, a reinforcement learning task offloading scheme based on Q-learning is further proposed, so that the overall energy consumption and delay of the robot cluster can be minimized. Finally, simulation experiments demonstrate that the method has significant per-formance advantages.
文献关键词：
中图分类号：
作者姓名：
Hao Wang
作者机构：
China Railway Siyuan Survey and Design Group Co.,Ltd., Wuhan 430063, China
文献出处：
引用格式：
[1]Hao Wang-.Optimization and Design of Cloud-Edge-End Collaboration Computing for Autonomous Robot Control Using 5G and Beyond)[J].北京理工大学学报（英文版）,2022(05):454-463
A类：
laborative
B类：
Optimization,Design,Cloud,Edge,End,Collaboration,Computing,Autonomous,Control,Using,Beyond,Robots,have,important,applications,industrial,production,transportation,mental,monitoring,other,fields,multi,robot,collaboration,research,hotspot,recent,years,Multi,autonomous,collaborative,tasks,are,limited,by,communication,there,problems,such,poor,resource,allocation,balance,slow,response,system,dynamic,changes,environment,operation,capabilities,combination,beyond,edge,computing,effectively,reduce,transmission,delay,offloading,improve,processing,efficiency,First,this,paper,designs,architecture,mobile,MEC,Then,cooperative,optimization,studied,according,char,acteristics,swarm,reinforcement,learning,scheme,further,proposed,that,overall,energy,consumption,cluster,minimized,Finally,simulation,experiments,demonstrate,method,has,significant,formance,advantages
AB值：
0.627447
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