Software Defined Vehicular Advertisement Platform

Jungwoo Koo, Joonwoo Kim, Sangheon Pack

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publication2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538655535
DOIs
Publication statusPublished - 2019 Feb 25
Event16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019 - Las Vegas, United States
Duration: 2019 Jan 112019 Jan 14

Publication series

Name2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019

Conference

Conference16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019
CountryUnited States
CityLas Vegas
Period19/1/1119/1/14

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Software Defined Vehicular Advertisement Platform'. Together they form a unique fingerprint.

  • Cite this

    Koo, J., Kim, J., & Pack, S. (2019). Software Defined Vehicular Advertisement Platform. In 2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019 [8651779] (2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCNC.2019.8651779