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
    Country/TerritoryUnited States
    CityLas Vegas
    Period19/1/1119/1/14

    Bibliographical note

    Publisher Copyright:
    © 2019 IEEE.

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Computer Networks and Communications

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