Poster: A Vehicular Participant Recruiting Strategy for Improving Sensing Quality in Vehicular Crowdsensing

Joonwoo Kim, Jaewook Lee, Sangheon Pack

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    In vehicular crowdsensing (VCS) applications, vehicular participants should be carefully selected to meet the limited operation budget while providing sufficient quality of sensing. In this paper, we propose a matching based vehicular participant recruiting (MVP) strategy. The MVP strategy in-centivizes detouring vehicles to the target region, which allows the maximization of the sensing quality under the given VCS operation budget. The preliminary simulation results based on real traces demonstrate that MVP outperforms the existing vehicular crowdsensing strategy.

    Original languageEnglish
    Title of host publication2019 IEEE Vehicular Networking Conference, VNC 2019
    EditorsDanijela Cabric, Onur Altintas, Tim Leinmueller, Hongwei Zhang, Takamasa Higuchi
    PublisherIEEE Computer Society
    ISBN (Electronic)9781728145716
    DOIs
    Publication statusPublished - 2019 Dec
    Event2019 IEEE Vehicular Networking Conference, VNC 2019 - Los Angeles, United States
    Duration: 2019 Dec 42019 Dec 6

    Publication series

    NameIEEE Vehicular Networking Conference, VNC
    Volume2019-December
    ISSN (Print)2157-9857
    ISSN (Electronic)2157-9865

    Conference

    Conference2019 IEEE Vehicular Networking Conference, VNC 2019
    Country/TerritoryUnited States
    CityLos Angeles
    Period19/12/419/12/6

    Bibliographical note

    Funding Information:
    ACKNOWLEDGMENT This was was supported in part by National Research Foundation (NRF) grant (No. 2017R1E1A1A01073742) and in part by Institute of Information & communications Technology Planning Evaluation (IITP) grant (No.2017-0-00195).

    Keywords

    • Matching theory
    • Recruiting strategy
    • Vehicular crowdsensing

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Automotive Engineering
    • Control and Systems Engineering
    • Electrical and Electronic Engineering
    • Transportation

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