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

Joonwoo Kim; Jaewook Lee; Sangheon Pack

doi:10.1109/VNC48660.2019.9062811

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 proceeding › Conference 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 language	English
Title of host publication	2019 IEEE Vehicular Networking Conference, VNC 2019
Editors	Danijela Cabric, Onur Altintas, Tim Leinmueller, Hongwei Zhang, Takamasa Higuchi
Publisher	IEEE Computer Society
ISBN (Electronic)	9781728145716
DOIs	https://doi.org/10.1109/VNC48660.2019.9062811
Publication status	Published - 2019 Dec
Event	2019 IEEE Vehicular Networking Conference, VNC 2019 - Los Angeles, United States Duration: 2019 Dec 4 → 2019 Dec 6

Publication series

Name	IEEE Vehicular Networking Conference, VNC
Volume	2019-December
ISSN (Print)	2157-9857
ISSN (Electronic)	2157-9865

Conference

Conference	2019 IEEE Vehicular Networking Conference, VNC 2019
Country/Territory	United States
City	Los Angeles
Period	19/12/4 → 19/12/6

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

Access to Document

10.1109/VNC48660.2019.9062811

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 Article 9062811 (IEEE Vehicular Networking Conference, VNC; Vol. 2019-December). IEEE Computer Society. https://doi.org/10.1109/VNC48660.2019.9062811

Poster: A Vehicular Participant Recruiting Strategy for Improving Sensing Quality in Vehicular Crowdsensing. / Kim, Joonwoo; Lee, Jaewook; Pack, Sangheon.
2019 IEEE Vehicular Networking Conference, VNC 2019. ed. / Danijela Cabric; Onur Altintas; Tim Leinmueller; Hongwei Zhang; Takamasa Higuchi. IEEE Computer Society, 2019. 9062811 (IEEE Vehicular Networking Conference, VNC; Vol. 2019-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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, 2019 IEEE Vehicular Networking Conference, VNC 2019, Los Angeles, United States, 19/12/4. https://doi.org/10.1109/VNC48660.2019.9062811

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

Kim, Joonwoo ; Lee, Jaewook ; Pack, Sangheon. / Poster : A Vehicular Participant Recruiting Strategy for Improving Sensing Quality in Vehicular Crowdsensing. 2019 IEEE Vehicular Networking Conference, VNC 2019. editor / Danijela Cabric ; Onur Altintas ; Tim Leinmueller ; Hongwei Zhang ; Takamasa Higuchi. IEEE Computer Society, 2019. (IEEE Vehicular Networking Conference, VNC).

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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",

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doi = "10.1109/VNC48660.2019.9062811",

language = "English",

series = "IEEE Vehicular Networking Conference, VNC",

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editor = "Danijela Cabric and Onur Altintas and Tim Leinmueller and Hongwei Zhang and Takamasa Higuchi",

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AB - 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.

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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