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 |
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Conference
| Conference | 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019 |
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| Country/Territory | United States |
| City | Las Vegas |
| Period | 19/1/11 → 19/1/14 |
Bibliographical note
Publisher Copyright:© 2019 IEEE.
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Networks and Communications