Literature Database Entry

shareeda2018towards

M. Al Shareeda, A. Khalil and W. Fahs, "Towards the Optimization of Road Side Unit Placement Using Genetic Algorithm," Proceedings of 2018 International Arab Conference on Information Technology (ACIT), Chouran Beirut, Lebanon, November 2018.

Abstract

The most significant elements of a vehicular ad hoc network (VANET), besides VANET-enabled vehicles, are roadside units (RSUs). The effectiveness of a VANET mainly depends on the density and location of these RSUs. Throughout the primary stages of VANET, it will not be potential to deploy a big number of RSUs either due to the low marketplace penetration of VANET enabled vehicles or due to the deployment price of RSUs. There is, therefore, a need to optimally place a limited number of RSUs in a specified area in order to accomplish maximum performance. In this paper, we present the well-known genetic algorithm based on RSU location to find an optimal or near optimal solution. We provide the basic simulation environment of this work OSM to download real map data, GatcomSUMO to generate car mobility, SUMO to simulate road traffic, veins model framework for running vehicular network simulations on Omnet++, Omnet++ to simulate realistic network and Matlab to build the algorithm in order to analyze the results. The simulation scenario is based on the Hamra district of Beirut, Lebanon. Based on the genetic algorithm, our proposed RSU placement model demonstrates that an optimal RSU position that can enhance the reception of basic safety message (BSM) delivered from the vehicles, can be accomplished in a specified road-map layout.

Quick access

Original Version DOI (at publishers web site)
BibTeX BibTeX

Contact

M. Al Shareeda
A. Khalil
W. Fahs

BibTeX reference

@inproceedings{shareeda2018towards,
    author = {Shareeda, M. Al and Khalil, A. and Fahs, W.},
    doi = {10.1109/ACIT.2018.8672687},
    title = {{Towards the Optimization of Road Side Unit Placement Using Genetic Algorithm}},
    address = {Chouran Beirut, Lebanon},
    booktitle = {2018 International Arab Conference on Information Technology (ACIT)},
    month = {11},
    year = {2018},
   }
   
   

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.