@inproceedings{a281567056464413a07fbdbcb5853322,
title = "Poster: A Vehicular Participant Recruiting Strategy for Improving Sensing Quality in Vehicular Crowdsensing",
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.",
keywords = "Matching theory, Recruiting strategy, Vehicular crowdsensing",
author = "Joonwoo Kim and Jaewook Lee and Sangheon Pack",
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).; 2019 IEEE Vehicular Networking Conference, VNC 2019 ; Conference date: 04-12-2019 Through 06-12-2019",
year = "2019",
month = dec,
doi = "10.1109/VNC48660.2019.9062811",
language = "English",
series = "IEEE Vehicular Networking Conference, VNC",
publisher = "IEEE Computer Society",
editor = "Danijela Cabric and Onur Altintas and Tim Leinmueller and Hongwei Zhang and Takamasa Higuchi",
booktitle = "2019 IEEE Vehicular Networking Conference, VNC 2019",
}