survey

Vehicular Networks: A New Challenge for Content-Delivery-Based Applications

Authors:

Fabrício A. Silva,

Azzedine Boukerche,

Thais R. M. Braga Silva,

Linnyer B. Ruiz,

Eduardo Cerqueira,

Antonio A. F. LoureiroAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 49, Issue 1

Article No.: 11, Pages 1 - 29

https://doi.org/10.1145/2903745

Published: 06 June 2016 Publication History

Abstract

A significant number of promising applications for vehicular ad hoc networks (VANETs) are becoming a reality. Most of these applications require a variety of heterogenous content to be delivered to vehicles and to their on-board users. However, the task of content delivery in such dynamic and large-scale networks is easier said than done. In this article, we propose a classification of content delivery solutions applied to VANETs while highlighting their new characteristics and describing their underlying architectural design. First, the two fundamental building blocks that are part of an entire content delivery system are identified: replica allocation and content delivery. The related solutions are then classified according to their architectural definition. Within each category, solutions are described based on the techniques and strategies that have been adopted. As result, we present an in-depth discussion on the architecture, techniques, and strategies adopted by studies in the literature that tackle problems related to vehicular content delivery networks.

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Index Terms

Vehicular Networks: A New Challenge for Content-Delivery-Based Applications
1. Networks
  1. Network protocols
    1. Application layer protocols
  2. Network types
    1. Ad hoc networks
      1. Mobile ad hoc networks

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cover image ACM Computing Surveys

ACM Computing Surveys Volume 49, Issue 1

March 2017

705 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/2911992

Editor:
Sartaj Sahni
Department of Computer and Information Science and Engineering/University of Florida/Gainesville, FL

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Publication History

Published: 06 June 2016

Accepted: 01 March 2016

Revised: 01 July 2015

Received: 01 June 2014

Published in CSUR Volume 49, Issue 1

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