Computer Science ›› 2022, Vol. 49 ›› Issue (11): 242-249.doi: 10.11896/jsjkx.220400264

• Computer Network • Previous Articles     Next Articles

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).

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

CLC Number: 

  • TP393
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