Collaborative Computing: Networking, Applications and Worksharing. 13th International Conference, CollaborateCom 2017, Edinburgh, UK, December 11–13, 2017, Proceedings

Research Article

Route-Oriented Participants Recruitment in Collaborative Crowdsensing

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  • @INPROCEEDINGS{10.1007/978-3-030-00916-8_16,
        author={Shu Yang and Jinglin Li and Quan Yuan and Zhihan Liu},
        title={Route-Oriented Participants Recruitment in Collaborative Crowdsensing},
        proceedings={Collaborative Computing: Networking, Applications and Worksharing. 13th International Conference, CollaborateCom 2017, Edinburgh, UK, December 11--13, 2017, Proceedings},
        proceedings_a={COLLABORATECOM},
        year={2018},
        month={10},
        keywords={Participants recruitment Collaborative crowdsensing Vehicle trajectory Approximate algorithm},
        doi={10.1007/978-3-030-00916-8_16}
    }
    
  • Shu Yang
    Jinglin Li
    Quan Yuan
    Zhihan Liu
    Year: 2018
    Route-Oriented Participants Recruitment in Collaborative Crowdsensing
    COLLABORATECOM
    Springer
    DOI: 10.1007/978-3-030-00916-8_16
Shu Yang1, Jinglin Li1,*, Quan Yuan1, Zhihan Liu1
  • 1: Beijing University of Posts and Telecommunications
*Contact email: jlli@bupt.edu.cn

Abstract

Route-oriented participants recruitment is a critical problem in collaborative crowdsensing, where task publisher uses monetary reward to motivate private cars collecting data along their routes. For map producers, route-oriented crowdsensing scheme helps them achieve maximum roads coverage with a limited budget, by selecting appropriate participants from a group of candidates.