Literature Database Entry

villas2014drive

Leandro Aparecido Villas, Azzedine Boukerche, Guilherme Maia, Richard Werner Pazzi and Antonio A. F. Loureiro, "DRIVE: An efficient and robust data dissemination protocol for highway and urban vehicular ad hoc networks," Elsevier Computer Networks, vol. 75 (A), December 2014.

Abstract

Vehicular Ad hoc Networks (VANETs) are an emerging technology that allows vehicles to form self-organized networks without the need of permanent infrastructure. VANETs have attracted the attention of the research community recently as they have opened up a myriad of on the road and increased their potential by providing intelligent transport systems. The envisaged applications, as well as some inherent VANET characteristics make data dissemination an essential service and a challenging task in these networks. Many data dissemination protocols have been proposed in the literature. However, most of these protocols were designed to operate exclusively in urban or highway scenarios and under dense or sparse networks. In addition, the existing solutions for data dissemination do not effectively address broadcast storm and network partition problems simultaneously. To tackle these problems, we propose a novel Data dissemination pRotocol In VEhicular networks (DRIVE) that relies exclusively on local one-hop neighbor information to deliver messages under dense and sparse networks. In dense scenarios, DRIVE selects vehicles inside a sweet spot to rebroadcast messages to further vehicles. Moreover, the protocol employs implicit acknowledgements to guarantee robustness in message delivery under sparse scenarios. DRIVE eliminates the broadcast storm problem and delays, maximizes data dissemination capabilities across network partitions with short and low overhead. Simulation results show that DRIVE performs data dissemination with better efficiency than other algorithms, outperforming them in different scenarios in all the evaluations carried out.

Quick access

Original Version DOI (at publishers web site)
BibTeX BibTeX

Contact

Leandro Aparecido Villas
Azzedine Boukerche
Guilherme Maia
Richard Werner Pazzi
Antonio A. F. Loureiro

BibTeX reference

@article{villas2014drive,
    author = {Villas, Leandro Aparecido and Boukerche, Azzedine and Maia, Guilherme and Pazzi, Richard Werner and Loureiro, Antonio A. F.},
    doi = {10.1016/j.comnet.2014.10.012},
    title = {{DRIVE: An efficient and robust data dissemination protocol for highway and urban vehicular ad hoc networks}},
    journal = {Elsevier Computer Networks},
    issn = {1389-1286},
    publisher = {Elsevier},
    month = {12},
    number = {A},
    volume = {75},
    year = {2014},
   }
   
   

Copyright notice

Links to final or draft versions of papers are presented here to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or distributed for commercial purposes without the explicit permission of the copyright holder.

The following applies to all papers listed above that have IEEE copyrights: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

The following applies to all papers listed above that are in submission to IEEE conference/workshop proceedings or journals: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.

The following applies to all papers listed above that have ACM copyrights: ACM COPYRIGHT NOTICE. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org.

The following applies to all SpringerLink papers listed above that have Springer Science+Business Media copyrights: The original publication is available at www.springerlink.com.

This page was automatically generated using BibDB and bib2web.