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

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
CountryUnited States
CityLos Angeles
Period19/12/419/12/6

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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  • Cite this

    Kim, J., Lee, J., & Pack, S. (2019). Poster: A Vehicular Participant Recruiting Strategy for Improving Sensing Quality in Vehicular Crowdsensing. In D. Cabric, O. Altintas, T. Leinmueller, H. Zhang, & T. Higuchi (Eds.), 2019 IEEE Vehicular Networking Conference, VNC 2019 [9062811] (IEEE Vehicular Networking Conference, VNC; Vol. 2019-December). IEEE Computer Society. https://doi.org/10.1109/VNC48660.2019.9062811