计算机科学 ›› 2022, Vol. 49 ›› Issue (11): 242-249.doi: 10.11896/jsjkx.220400264

• 计算机网络 • 上一篇    下一篇

空地协同移动群智感知研究综述

程文辉1,2, 张乾元1,2, 程梁华1,2, 向朝参1,3, 杨振东4, 沈鑫4, 张乃凡1,2   

  1. 1 重庆大学计算机学院 重庆 400044
    2 信息物理社会可信服务计算教育部重点实验室(重庆大学) 重庆 400044
    3 安徽省工业互联网智能应用与安全工程实验室(安徽工业大学) 安徽 马鞍山 243023
    4 解放军陆军勤务学院勤务指挥系 重庆 401331
  • 收稿日期:2022-04-26 修回日期:2022-07-25 出版日期:2022-11-15 发布日期:2022-11-03
  • 通讯作者: 向朝参(xiangchaocan@cqu.edu.cn)
  • 作者简介:(wenhuicheng@cqu.edu.cn)
  • 基金资助:
    国家自然科学基金(62172063,61872447);中央高校基金项目(2022CDJXY-020);重庆市研究生科研创新项目(CYS22115)

Review of Mobile Air-Ground Crowdsensing

CHENG Wen-hui1,2, ZHANG Qian-yuan1,2, CHENG Liang-hua1,2, XIANG Chao-can1,3, YANG Zhen-dong4, SHEN Xin4, ZHANG Nai-fan1,2   

  1. 1 College of Computer Science,Chongqing University,Chongqing 400044,China
    2 Key Laboratory of Dependable Service Computing in Cyber Physical Society Ministry of Education,Chongqing University,Chongqing 400044,China
    3 Anhui Engineering Laboratory for Intelligent Applications and Security of Industrial Internet,Anhui University of Technology,Ma’anshan,Anhui 243023,China4 Department of Logistics Command,Army Logistics University,Chongqing 401331,China
  • Received:2022-04-26 Revised:2022-07-25 Online:2022-11-15 Published:2022-11-03
  • About author:CHENG Wen-hui,born in 1998,Ph.D.His main research interests include mobile crowdsensing and urban computing.
    XIANG Chao-can,born in 1987,Ph.D,associate professor,is a member of China Conputer Federation.His main research interests include mobile crowd-sensing networks,edge computing,urban computing and AI.
  • Supported by:
    National Natural Science Foundation of China(62172063,61872447),Fundamental Research Funds for the Central Universities(2022CDJXY-020)and Graduate Research and Innovation Foundation of Chongqing,China(CYS22115).

摘要: 移动群智感知是一种新兴的感知模式,通过复用现有大量空地移动感知资源,从而实现低成本、大规模的城市感知。因此,联合利用空地移动感知资源实现空地协同移动群智感知,对提高移动感知资源的利用率,促进智慧城市发展具有重要意义。为此,对近年来空地协同移动群智感知研究工作进行综述。首先介绍空地协同移动群智感知兴起的背景和发展现状;然后分别从基于地面移动设备和基于空中移动设备两个维度对现有的移动群智感知研究工作进行分析,总结当前存在的问题;最后提出空地协同移动群智感知在跨平台的用户信息学习、跨空地的移动设备调度、跨任务的感知资源分配3个未来重要的研究方向,为相关研究人员提供有价值的参考。

关键词: 移动群智感知, 空地协同, 智慧城市, 智联网汽车, 无人机

Abstract: As an emerging sensing mode,mobile crowdsensing can realize low-cost and large-scale urban sensing by reusing a large number of existing mobile sensing resources of air and ground.Therefore,it is of great significance to improve the utilization of mobile sensing resources and promote the development of smart cities by jointly utilizing air-ground mobile sensing resources to realize air-ground cooperative mobile crowdsensing.To this end,this paper reviews the recent research on air-ground cooperative mobile crowdsensing.Firstly,it introduces the rising background and development status of air-ground cooperative mobile crowdsensing.Then it analyzes the existing research work on mobile crowdsensing from two dimensions of ground-based mobile devices and air-based mobile devices,and summarizes the current problems.Finally,three important future research directions for air-ground cooperative mobile crowdsensing in cross-platform user information learning,cross-air-ground mobile device scheduling,and cross-task sensing resource allocation are proposed to provide valuable reference for relevant researchers.

Key words: Mobile crowdsensing, Air-ground cooperation, Smart city, Intelligent connected vehicle, Drone

中图分类号: 

  • TP393
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