Abstract
For efficient advertisement in vehicular environments, we propose a software-defined vehicular advertisement platform (SD-VAP) in which a centralized controller determines target vehicles for advertisements. To maximize the advertisement exposure impact in SD-VAP, we formulate a vehicle-to-advertisement matching problem and devise two heuristic algorithms to solve the problem in a practical manner. Extensive simulation results demonstrate that the proposed heuristic algorithms achieve near-optimal performance in terms of the advertisement quality and total advertisement exposure.
| Original language | English |
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| Title of host publication | 2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781538655535 |
| DOIs | |
| Publication status | Published - 2019 Feb 25 |
| Event | 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019 - Las Vegas, United States Duration: 2019 Jan 11 → 2019 Jan 14 |
Publication series
| Name | 2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019 |
|---|
Conference
| Conference | 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019 |
|---|---|
| Country | United States |
| City | Las Vegas |
| Period | 19/1/11 → 19/1/14 |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Networks and Communications
Cite this
Software Defined Vehicular Advertisement Platform. / Koo, Jungwoo; Kim, Joonwoo; Pack, Sangheon.
2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8651779 (2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Software Defined Vehicular Advertisement Platform
AU - Koo, Jungwoo
AU - Kim, Joonwoo
AU - Pack, Sangheon
PY - 2019/2/25
Y1 - 2019/2/25
N2 - For efficient advertisement in vehicular environments, we propose a software-defined vehicular advertisement platform (SD-VAP) in which a centralized controller determines target vehicles for advertisements. To maximize the advertisement exposure impact in SD-VAP, we formulate a vehicle-to-advertisement matching problem and devise two heuristic algorithms to solve the problem in a practical manner. Extensive simulation results demonstrate that the proposed heuristic algorithms achieve near-optimal performance in terms of the advertisement quality and total advertisement exposure.
AB - For efficient advertisement in vehicular environments, we propose a software-defined vehicular advertisement platform (SD-VAP) in which a centralized controller determines target vehicles for advertisements. To maximize the advertisement exposure impact in SD-VAP, we formulate a vehicle-to-advertisement matching problem and devise two heuristic algorithms to solve the problem in a practical manner. Extensive simulation results demonstrate that the proposed heuristic algorithms achieve near-optimal performance in terms of the advertisement quality and total advertisement exposure.
UR - http://www.scopus.com/inward/record.url?scp=85063456557&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85063456557&partnerID=8YFLogxK
U2 - 10.1109/CCNC.2019.8651779
DO - 10.1109/CCNC.2019.8651779
M3 - Conference contribution
AN - SCOPUS:85063456557
T3 - 2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019
BT - 2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
ER -