Poster: Greedy data dissemination algorithm for infrastructure-to-vehicle services

Inshick Kim, Ryangsoo Kim, Hyuk Lim, Kyung Joon Park

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper considers a data dissemination problem for vehicular cloud systems, in which delivery services from a data center provide data to vehicles through roadside wireless access points having local data storages. We propose a greedy data prefetching algorithm; by exploiting the completely predictable route information and the stochastic characteristics of the communication with APs, the algorithm predetermines how to distribute a set of data from a data center to local data storages, and minimizes the amount of data dissemination. The results from extensive simulations show that the proposed scheme can achieve efficient data dissemination in a variety of vehicular scenarios while minimizing the data transfer.

Original languageEnglish
Title of host publication2015 IEEE Vehicular Networking Conference, VNC 2015
EditorsOnur Altintas, Frank Kargl, Eylem Ekici, Christoph Sommer, Michele Segata
PublisherIEEE Computer Society
Pages163-164
Number of pages2
ISBN (Electronic)9781467394116
DOIs
StatePublished - 18 Jan 2016
EventIEEE Vehicular Networking Conference, VNC 2015 - Kyoto, Japan
Duration: 16 Dec 201518 Dec 2015

Publication series

NameIEEE Vehicular Networking Conference, VNC
Volume2016-January
ISSN (Print)2157-9857
ISSN (Electronic)2157-9865

Conference

ConferenceIEEE Vehicular Networking Conference, VNC 2015
Country/TerritoryJapan
CityKyoto
Period16/12/1518/12/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

  • Vehicular networks
  • data dissemination
  • data prefetching

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