Literature Database Entry

arkian2014fcvca

H.R. Arkian, R.E. Atani and S. Kamali, "FcVcA: A fuzzy clustering-based vehicular cloud architecture," Proceedings of 7th IFIP/IEEE International Workshop on Communication Technologies for Vehicles (Nets4Cars 2014-Fall), Saint Petersburg, Russia, October 2014, pp. 24–28.

Abstract

Recently, involving wireless communication technologies in deployment of new vehicular networks becomes more attracting to the research community and vehicle manufacturers. It is beneficial in providing intelligent transportation system as well as new assistant services to drivers. However, the limitation of resources in mobile vehicles is a significant technical challenge in the deployment of new applications. In this paper, we propose a new vehicular cloud architecture used clustering technique to group vehicles and provide resources cooperatively. We make the cluster structure flexible by using the fuzzy logic in the cluster head selection procedure. Also, performance of the proposed architecture is evaluated using extensive simulation and approaches., its efficiency is demonstrated through comparison with other existing

Quick access

Original Version DOI (at publishers web site)
BibTeX BibTeX

Contact

H.R. Arkian
R.E. Atani
S. Kamali

BibTeX reference

@inproceedings{arkian2014fcvca,
    author = {Arkian, H.R. and Atani, R.E. and Kamali, S.},
    doi = {10.1109/Nets4CarsFall.2014.7000907},
    title = {{FcVcA: A fuzzy clustering-based vehicular cloud architecture}},
    pages = {24--28},
    publisher = {IEEE},
    address = {Saint Petersburg, Russia},
    booktitle = {7th IFIP/IEEE International Workshop on Communication Technologies for Vehicles (Nets4Cars 2014-Fall)},
    month = {10},
    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.