4.7 Article

ODCRep: Origin-Destination-Based Content Replication for Vehicular Networks

Journal

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Volume 64, Issue 12, Pages 5563-5574

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TVT.2015.2487679

Keywords

Content availability; content delivery; content replication; replica allocation; vehicular networks

Funding

  1. Natural Sciences and Engineering Research Council of Canada
  2. Canada Research Chair Program
  3. National Council for Scientific and Technological Development (CNPq)
  4. Federal Agency for Support and Evaluation of Graduate Education (CAPES)
  5. Minais Gerais State Research Foundation (FAPEMIG)

Ask authors/readers for more resources

The evolution of vehicular network applications, from simple alert message exchange to more elaborate and sophisticated systems, boosts the need for content delivery solutions. A useful technique, in this case, is content replication, in which strategically selected vehicles replicate content and help in the delivery process. However, content replication is particularly challenging in vehicular networks, due to their special characteristics, such as highly dynamic topology, diverse density, and largescale scenarios. Although there has been progress in routing and dissemination solutions for vehicular networks, few studies have concentrated on the content replication problem. To address this issue, we propose an origin-destination-based content replication (ODCRep) solution that focuses on balancing the number of replicas across the application area. Differently from existing solutions, ODCRep relies only on the origin-destination information and uses computationally efficient algorithms. Results from exhaustive simulations show that ODCRep can achieve high coverage, yet can also consume fewer resources than existing solutions.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available