About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Ad Hoc Networks and Tools for IT. 13th EAI International Conference, ADHOCNETS 2021, Virtual Event, December 6–7, 2021, and 16th EAI International Conference, TRIDENTCOM 2021, Virtual Event, November 24, 2021, Proceedings

Research Article

Adaptive Data Rate Based Congestion Control in Vehicular Ad Hoc Networks (VANET)

Download(Requires a free EAI acccount)
5 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-030-98005-4_11,
        author={Srihari Jayachandran and Arunita Jaekel},
        title={Adaptive Data Rate Based Congestion Control in Vehicular Ad Hoc Networks (VANET)},
        proceedings={Ad Hoc Networks and Tools for IT. 13th EAI International Conference, ADHOCNETS 2021, Virtual Event, December 6--7, 2021, and 16th EAI International Conference, TRIDENTCOM 2021, Virtual Event, November 24, 2021, Proceedings},
        proceedings_a={ADHOCNETS \& TRIDENTCOM},
        year={2022},
        month={3},
        keywords={VANET Congestion control Vehicular communication V2V Basic safety message (BSM) Intelligent Transportation System (ITS)},
        doi={10.1007/978-3-030-98005-4_11}
    }
    
  • Srihari Jayachandran
    Arunita Jaekel
    Year: 2022
    Adaptive Data Rate Based Congestion Control in Vehicular Ad Hoc Networks (VANET)
    ADHOCNETS & TRIDENTCOM
    Springer
    DOI: 10.1007/978-3-030-98005-4_11
Srihari Jayachandran1, Arunita Jaekel1,*
  • 1: University of Windsor, Windsor
*Contact email: arunita@uwindsor.ca

Abstract

Vehicular Ad Hoc Networks (VANET) supporting Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication can increase the efficiency and safety of the road transportation systems. V2V communication uses wireless technology and in scenarios with high vehicle densities, the communication channel faces congestion, negatively impacting the reliability of the safety applications. To address this, various decentralized congestion control techniques have been proposed to effectively lower the channel load, by controlling different transmission parameters like message rate, data rate and transmission power. In this paper, we propose a novel data rate control algorithm to control the network congestion based on the Channel Busy Ratio (CBR). Simulation results demonstrate that the proposed approach outperforms existing data rate based algorithms, in terms of both packet reception and overall channel load.

Keywords
VANET Congestion control Vehicular communication V2V Basic safety message (BSM) Intelligent Transportation System (ITS)
Published
2022-03-27
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-98005-4_11
Copyright © 2021–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL