Name
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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/CCNC.2019.8651779 | 2019 16TH IEEE ANNUAL CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE (CCNC) |
Field | DocType | ISSN |
Heuristic,Control theory,Advertising,Computer science,Software,Distributed computing | Conference | 2331-9852 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jungwoo Koo | 1 | 2 | 1.03 |
| Joonwoo Kim | 2 | 3 | 3.08 |
| Sangheon Pack | 3 | 913 | 117.20 |