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

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Ad Hoc Networks and Tools for IT (ADHOCNETS 2021, TridentCom 2021)

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.

Supported by Natural Sciences and Engineering Research Council of Canada (NSERC)

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Authors and Affiliations

  1. University of Windsor, Windsor, ON, N9B 3P4, Canada

    Srihari Jayachandran & Arunita Jaekel

Authors
  1. Srihari Jayachandran
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  2. Arunita Jaekel
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Correspondence to Arunita Jaekel .

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Editors and Affiliations

  1. School of Computer Science, University of Sydney, Camperdown, NSW, Australia

    Wei Bao

  2. Monash University, Clayton, VIC, Australia

    Xingliang Yuan

  3. School of Information Technology, Deakin University, Mont Albert, VIC, Australia

    Longxiang Gao

  4. School of Cyber Engineering, Xidian University, Xi'an, China

    Tom H. Luan

  5. School of Electronic Engineering, School of Computer Science and Engineering, Soongsil University, Dongjak, Seoul, Korea (Republic of)

    David Bong Jun Choi

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Jayachandran, S., Jaekel, A. (2022). Adaptive Data Rate Based Congestion Control in Vehicular Ad Hoc Networks (VANET). In: Bao, W., Yuan, X., Gao, L., Luan, T.H., Choi, D.B.J. (eds) Ad Hoc Networks and Tools for IT. ADHOCNETS TridentCom 2021 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 428. Springer, Cham. https://doi.org/10.1007/978-3-030-98005-4_11

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  • DOI: https://doi.org/10.1007/978-3-030-98005-4_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-98004-7

  • Online ISBN: 978-3-030-98005-4

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