Literature Database Entry

egealopez2013statistical


E. Egea-Lopez, J.J. Alcaraz, J. Vales-Alonso, A. Festag and J. Garcia-Haro, "Statistical Beaconing Congestion Control for Vehicular Networks," IEEE Transactions on Vehicular Technology, vol. 62 (9), pp. 4162-4181, November 2013.

Abstract

Cooperative inter-vehicular applications rely on the periodic exchange of broadcast single-hop status messages among vehicles, called beacons. The aggregated load on the wireless channel due to beacons can prevent the transmission of other types of messages, what is called channel congestion due to beaconing activity. In this paper we propose a novel statistical approach to transmit power control for beaconing congestion control, called Statistical Beaconing Congestion Control (SBCC). Unlike previous proposals, SBCC uses local information, very limited feedback and its implementation is simple. Each vehicle computes locally the power needed to comply with a given maximum beacon load as a function of estimated channel parameters, vehicle density and fading, beaconing rate. A realistic Nakagami-m and path loss propagation model is assumed. We provide a final expression of the algorithm as a linear proportional controller, with two variants, SBCC-C and SBCC-N, depending on how the parameters are estimated. Additionally, we derive an expression for the estimated communication range under interference, which approximates the average fraction of packets lost due to hidden node collisions. Finally, we evaluate the performance degradation caused by differences in local vehicle densities and propose a mechanism, called edge correction, to limit it while keeping the safety benefits of an extended range at the edge of a cluster of vehicles. SBCC is validated with a realistic hybrid network-traffic simulator and results show that it effectively controls beaconing congestion.

Quick access

Original Version DOI (at publishers web site)
BibTeX BibTeX

Contact

E. Egea-Lopez
J.J. Alcaraz
J. Vales-Alonso
A. Festag
J. Garcia-Haro

BibTeX reference

@article{egealopez2013statistical,
    author = {Egea-Lopez, E. and Alcaraz, J.J. and Vales-Alonso, J. and Festag, A. and Garcia-Haro, J.},
    title = {{Statistical Beaconing Congestion Control for Vehicular Networks}},
    journal = {IEEE Transactions on Vehicular Technology},
    pages = {4162-4181},
    volume = {62},
    number = {9},
    keywords = {Vehicular Communications;beaconing congestion control;transmit power control (TPC)},
    year = {2013},
    month = {November},
    publisher = {IEEE},
    issn = {0018-9545},
    doi = {10.1109/TVT.2013.2264065},
   }
   
   

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 proceeedings 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.