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.
T2 - 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019
Y2 - 11 January 2019 through 14 January 2019
ER -