智能科学与技术学报 ›› 2020, Vol. 2 ›› Issue (3): 227-239.doi: 10.11959/j.issn.2096-6652.202025

• 学术论文 • 上一篇    下一篇

基于无人机的边缘智能计算研究综述

董超1(),沈赟1,屈毓锛2   

  1. 1 南京航空航天大学电子信息工程学院,江苏 南京 211106
    2 上海交通大学计算机科学与工程系,上海 200240
  • 修回日期:2020-08-24 出版日期:2020-09-20 发布日期:2020-10-20
  • 作者简介:董超(1980- ),男,博士,南京航空航天大学电子信息工程学院教授,国家万人计划青年拔尖人才,江苏省 333 中青年学术技术带头人,主要研究方向为天地一体组网、无人机智能组网、移动边缘计算、无线网络协同应用、物联网、大数据驱动的智能网络协议等|沈赟(1997- ),男,南京航空航天大学电子信息工程学院硕士生,主要研究方向为无人机智能组网、移动边缘计算等|屈毓锛(1987- ),男,博士,上海交通大学计算机科学与工程系博士后,主要研究方向为移动边缘计算、空地一体网络、D2D通信和群智感知等
  • 基金资助:
    国家自然科学基金资助项目(61931011);国家自然科学基金资助项目(61631020);国家自然科学基金资助项目(61827801)

A survey of UAV-based edge intelligent computing

Chao DONG1(),Yun SHEN1,Yuben QU2   

  1. 1 College of Electronic and Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China
    2 Department of Computer Science and Engineering,Shanghai Jiao Tong University,Shanghai 200240,China
  • Revised:2020-08-24 Online:2020-09-20 Published:2020-10-20
  • Supported by:
    The National Natural Science Foundation of China(61931011);The National Natural Science Foundation of China(61631020);The National Natural Science Foundation of China(61827801)

摘要:

边缘智能计算是指将用户节点产生的计算密集型任务卸载到计算能力更强的边缘服务器上进行处理,而基于无人机的边缘智能计算是指在此基础上结合智能无人机平台,利用该平台机动性强、易于部署的优点,更加快速灵活地为地面用户设备提供边缘计算服务。此外,无人机也可作为用户节点,将其计算密集型任务卸载到地面边缘服务器上来执行。针对无人机作为用户节点和边缘服务器两种不同场景,根据最小化能耗、最小化时延和最大化效用等不同的优化目标对当前基于无人机的边缘智能计算研究进行了分类和总结,并对下一步的研究方向进行了思考与展望。

关键词: 边缘智能计算, 无人机, 任务卸载

Abstract:

Edge intelligent computing refers to the offloading of computationally intensive tasks generated by user nodes to edge servers with stronger computing capabilities for processing.Unmanned aerial vehicle (UAV)-based edge intelligent computing combines intelligent drone platforms on this basis and utilizes them with the advantages of strong mobility and easy deployment,it can provide edge computing services for ground user equipment more quickly and flexibly.At the same time,drones can also be used as user nodes to off load their computationally intensive tasks to the ground edge server for execution.Aiming at two different scenarios of UAV as a user node or an edge server,the current research on edge intelligent computing based on UAV is classified and summarized according to different optimization goals such as minimizing energy consumption,minimizing delay and maximizing utility,and the next research direction is considered and prospected.

Key words: edge intelligent computing, unmanned aerial vehicle, task off loading

中图分类号: 

No Suggested Reading articles found!