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Journal of Computer Science and Technology

, Volume 33, Issue 4, pp 768–791 | Cite as

A Survey on Task and Participant Matching in Mobile Crowd Sensing

  • Yue-Yue Chen
  • Pin Lv
  • De-Ke Guo
  • Tong-Qing Zhou
  • Ming Xu
Survey
  • 53 Downloads

Abstract

Mobile crowd sensing is an innovative paradigm which leverages the crowd, i.e., a large group of people with their mobile devices, to sense various information in the physical world. With the help of sensed information, many tasks can be fulfilled in an efficient manner, such as environment monitoring, traffic prediction, and indoor localization. Task and participant matching is an important issue in mobile crowd sensing, because it determines the quality and efficiency of a mobile crowd sensing task. Hence, numerous matching strategies have been proposed in recent research work. This survey aims to provide an up-to-date view on this topic. We propose a research framework for the matching problem in this paper, including participant model, task model, and solution design. The participant model is made up of three kinds of participant characters, i.e., attributes, requirements, and supplements. The task models are separated according to application backgrounds and objective functions. Offline and online solutions in recent literatures are both discussed. Some open issues are introduced, including matching strategy for heterogeneous tasks, context-aware matching, online strategy, and leveraging historical data to finish new tasks.

Keywords

mobile crowd sensing participant selection task allocation task and participant matching 

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Yue-Yue Chen
    • 1
  • Pin Lv
    • 2
    • 3
  • De-Ke Guo
    • 4
    • 5
  • Tong-Qing Zhou
    • 1
  • Ming Xu
    • 1
  1. 1.College of ComputerNational University of Defense TechnologyChangshaChina
  2. 2.School of Computer Electronics and InformationGuangxi UniversityNanningChina
  3. 3.Guangxi Key Laboratory of Multimedia Communications and Network TechnologyGuangxi UniversityNanningChina
  4. 4.College of System EngineeringNational University of Defense TechnologyChangshaChina
  5. 5.School of Computer Science and TechnologyTianjin UniversityTianjinChina

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