TY - GEN
T1 - Software Defined Vehicular Advertisement Platform
AU - Koo, Jungwoo
AU - Kim, Joonwoo
AU - Pack, Sangheon
N1 - Funding Information:
This research was supported by National Research Foundation (NRF) of Korea Grant funded by the Korean Government (MSIP) (No. 2017R1E1A1A01073742) and Institute for Information and Communications Technology Promotion (IITP) grants funded by the Korea government (MSIT) (No. 2015-0-00575, Global SDN/NFV Open-Source Software Core Module/Function Development)
Funding Information:
ACKNOWLEDGEMENT This research was supported by National Research Foundation (NRF) of Korea Grant funded by the Korean Government (MSIP) (No. 2017R1E1A1A01073742) and Institute for Information & Communications Technology Promotion (IITP) grants funded by the Korea government (MSIT) (No. 2015-0-00575, Global SDN/NFV Open-Source Software Core Module/Function Development).
Publisher Copyright:
© 2019 IEEE.
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
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.
T2 - 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019
Y2 - 11 January 2019 through 14 January 2019
ER -