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 language | English |
|---|---|
| Title of host publication | 2015 IEEE Vehicular Networking Conference, VNC 2015 |
| Editors | Onur Altintas, Frank Kargl, Eylem Ekici, Christoph Sommer, Michele Segata |
| Publisher | IEEE Computer Society |
| Pages | 163-164 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781467394116 |
| DOIs | |
| State | Published - 18 Jan 2016 |
| Event | IEEE Vehicular Networking Conference, VNC 2015 - Kyoto, Japan Duration: 16 Dec 2015 → 18 Dec 2015 |
Publication series
| Name | IEEE Vehicular Networking Conference, VNC |
|---|---|
| Volume | 2016-January |
| ISSN (Print) | 2157-9857 |
| ISSN (Electronic) | 2157-9865 |
Conference
| Conference | IEEE Vehicular Networking Conference, VNC 2015 |
|---|---|
| Country/Territory | Japan |
| City | Kyoto |
| Period | 16/12/15 → 18/12/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
Keywords
- Vehicular networks
- data dissemination
- data prefetching