Research Article | | Peer-Reviewed

Load-Aware and Priority Adaptive Traffic Congestion Control Method in Vehicular Ad Hoc Network

Received: 8 September 2024     Accepted: 6 October 2024     Published: 7 December 2024
Views:       Downloads:
Abstract

Vehicular ad hoc networks (VANET) are a subset of mobile ad hoc networks communicating between vehicles and infrastructure. During vehicular congestion communication, nodes compete to acquire channels, causing the channels to become congested. The congestion on the vehicle network results in increased delay and packet loss, resulting in reduced VANET performance. To address this problem, we developed a load-aware and priority adaptive traffic congestion control method in vehicular ad hoc networks (VANETs). The proposed scheme identifies less-congested road segments based on the network's load and reduces traffic congestion by suggesting other routes between nearby roadside units (RSUs). This research aims to improve the efficiency of the vehicular environment by utilizing the movement of vehicles with (RSUs) and sharing the traffic load between them. Simulation results demonstrate the effectiveness of the proposed protocol in reducing congestion and enhancing the overall performance of VANETs. To validate the proposed algorithm, we have implemented and tested the proposed algorithm using Network Simulator 3 (NS3) for Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication scenarios and computed the performance of the algorithm on different parameters of the network. The simulation result of the proposed load aware and priority adaptive traffic congestion control method in VANET improved the packet delivery ratio, packet lost ratio, and end-to-end delay by 96%, 4.1%, and 1102 milliseconds, when compared to TDCCA value of 92%, 5.7%, and 1154 milliseconds, respectively.

Published in International Journal of Wireless Communications and Mobile Computing (Volume 11, Issue 2)
DOI 10.11648/j.wcmc.20241102.13
Page(s) 39-51
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Ad hoc Network, Congestion Control, Load Aware, Priority Adaptive

References
[1] A. R. Ragab, “A new classification for ad-hoc network,” Int. J. Interact. Mob. Technol., vol. 14, no. 14, pp. 214–223, 2020,
[2] R. G. Engoulou, M. Bellaïche, S. Pierre, and A. Quintero, “VANET security surveys,” Comput. Commun., vol. 44, pp. 1–13, 2014,
[3] H. Hasrouny, A. E. Samhat, C. Bassil, and A. Laouiti, “VANet security challenges and solutions: A survey,” Veh. Commun., vol. 7, no. January, pp. 7–20, 2017,
[4] M. Subramaniam, C. Rambabu, G. Chandrasekaran, and N. S. Kumar, “A Traffic Density-Based Congestion Control Method for VANETs,” Wirel. Commun. Mob. Comput., vol. 2022, 2022,
[5] G. P. K. Marwah and A. Jain, “A hybrid optimization with ensemble learning to ensure VANET network stability based on performance analysis,” Sci. Rep., vol. 12, no. 1, pp. 1–20, 2022,
[6] E. Engineering, “DBR : Distance Based Routing Protocol for VANETs,” vol. 2, no. 2, 2012.
[7] D. M. M and B. N. G, “Traffic Congestion Detection by Using VANET to Improve Intelligent Transportation System (ITS),” Int. J. Netw. Commun., vol. 5, no. 4, pp. 74–82, 2015,
[8] Y. Li et al., “Context-aware data dissemination for ICN-based vehicular ad hoc networks,” Inf., vol. 9, no. 11, 2018,
[9] P. K. Sahoo, M. J. Chiang, and S. L. Wu, “Svanet: A smart vehicular ad hoc network for efficient data transmission with wireless sensors,” Sensors (Switzerland), vol. 14, no. 12, pp. 22230–22260, 2014,
[10] W. Liu, X. He, Z. Huang, and Y. Ji, “Transmission capacity characterization in vanets with enhanced distributed channel access,” Electron., vol. 8, no. 3, 2019,
[11] M. Kwon and S. Fahmy "A comparision of Load-based and Queue based Active Queue Management Algorithm” vol. 4866, pp. 35–46, 2002.
[12] W. Ahmad, G. Husnain, S. Ahmed, F. Aadil, and S. Lim, “Received Signal Strength-Based Localization for Vehicle Distance Estimation in Vehicular Ad Hoc Networks (VANETs),” J. Sensors, vol. 2023, 2023,
[13] H. Nurwarsito and R. Aziz, “Implementation of the Friis Free Space Propagation Model in the Dynamic Source Routing ( DSR ) Routing Protocol in the Vehicular Ad-hoc Network ( VANET ) with Variations of Road Models Implementation of the Friis Free Space Propagation Model in the Dynami,” no. July 2021, 2022,
[14] C. Science and S. Engineering, “Simulation of VANET Using NS-3 and SUMO,” vol. 4, no. 4, pp. 563–569, 2014.
[15] R. Jiang et al., “Network operation reliability in a Manhattan-like urban system with adaptive traffic lights,” Transp. Res. Part C Emerg. Technol., vol. 69, pp. 527–547, 2016,
[16] S. Malik and P. K. Sahu, “A comparative study on routing protocols for VANETs,” Heliyon, vol. 5, no. 8, p. e02340, 2019,
Cite This Article
  • APA Style

    Tadesse, E. M., Demliw, S. A., Zinabie, A., Geto, A. D., Endris, N. (2024). Load-Aware and Priority Adaptive Traffic Congestion Control Method in Vehicular Ad Hoc Network. International Journal of Wireless Communications and Mobile Computing, 11(2), 39-51. https://doi.org/10.11648/j.wcmc.20241102.13

    Copy | Download

    ACS Style

    Tadesse, E. M.; Demliw, S. A.; Zinabie, A.; Geto, A. D.; Endris, N. Load-Aware and Priority Adaptive Traffic Congestion Control Method in Vehicular Ad Hoc Network. Int. J. Wirel. Commun. Mobile Comput. 2024, 11(2), 39-51. doi: 10.11648/j.wcmc.20241102.13

    Copy | Download

    AMA Style

    Tadesse EM, Demliw SA, Zinabie A, Geto AD, Endris N. Load-Aware and Priority Adaptive Traffic Congestion Control Method in Vehicular Ad Hoc Network. Int J Wirel Commun Mobile Comput. 2024;11(2):39-51. doi: 10.11648/j.wcmc.20241102.13

    Copy | Download

  • @article{10.11648/j.wcmc.20241102.13,
      author = {Ermias Melku Tadesse and Samuel Asferaw Demliw and Ayene Zinabie and Alemu Desu Geto and Nuru Endris},
      title = {Load-Aware and Priority Adaptive Traffic Congestion Control Method in Vehicular Ad Hoc Network
    },
      journal = {International Journal of Wireless Communications and Mobile Computing},
      volume = {11},
      number = {2},
      pages = {39-51},
      doi = {10.11648/j.wcmc.20241102.13},
      url = {https://doi.org/10.11648/j.wcmc.20241102.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wcmc.20241102.13},
      abstract = {Vehicular ad hoc networks (VANET) are a subset of mobile ad hoc networks communicating between vehicles and infrastructure. During vehicular congestion communication, nodes compete to acquire channels, causing the channels to become congested. The congestion on the vehicle network results in increased delay and packet loss, resulting in reduced VANET performance. To address this problem, we developed a load-aware and priority adaptive traffic congestion control method in vehicular ad hoc networks (VANETs). The proposed scheme identifies less-congested road segments based on the network's load and reduces traffic congestion by suggesting other routes between nearby roadside units (RSUs). This research aims to improve the efficiency of the vehicular environment by utilizing the movement of vehicles with (RSUs) and sharing the traffic load between them. Simulation results demonstrate the effectiveness of the proposed protocol in reducing congestion and enhancing the overall performance of VANETs. To validate the proposed algorithm, we have implemented and tested the proposed algorithm using Network Simulator 3 (NS3) for Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication scenarios and computed the performance of the algorithm on different parameters of the network. The simulation result of the proposed load aware and priority adaptive traffic congestion control method in VANET improved the packet delivery ratio, packet lost ratio, and end-to-end delay by 96%, 4.1%, and 1102 milliseconds, when compared to TDCCA value of 92%, 5.7%, and 1154 milliseconds, respectively.
    },
     year = {2024}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Load-Aware and Priority Adaptive Traffic Congestion Control Method in Vehicular Ad Hoc Network
    
    AU  - Ermias Melku Tadesse
    AU  - Samuel Asferaw Demliw
    AU  - Ayene Zinabie
    AU  - Alemu Desu Geto
    AU  - Nuru Endris
    Y1  - 2024/12/07
    PY  - 2024
    N1  - https://doi.org/10.11648/j.wcmc.20241102.13
    DO  - 10.11648/j.wcmc.20241102.13
    T2  - International Journal of Wireless Communications and Mobile Computing
    JF  - International Journal of Wireless Communications and Mobile Computing
    JO  - International Journal of Wireless Communications and Mobile Computing
    SP  - 39
    EP  - 51
    PB  - Science Publishing Group
    SN  - 2330-1015
    UR  - https://doi.org/10.11648/j.wcmc.20241102.13
    AB  - Vehicular ad hoc networks (VANET) are a subset of mobile ad hoc networks communicating between vehicles and infrastructure. During vehicular congestion communication, nodes compete to acquire channels, causing the channels to become congested. The congestion on the vehicle network results in increased delay and packet loss, resulting in reduced VANET performance. To address this problem, we developed a load-aware and priority adaptive traffic congestion control method in vehicular ad hoc networks (VANETs). The proposed scheme identifies less-congested road segments based on the network's load and reduces traffic congestion by suggesting other routes between nearby roadside units (RSUs). This research aims to improve the efficiency of the vehicular environment by utilizing the movement of vehicles with (RSUs) and sharing the traffic load between them. Simulation results demonstrate the effectiveness of the proposed protocol in reducing congestion and enhancing the overall performance of VANETs. To validate the proposed algorithm, we have implemented and tested the proposed algorithm using Network Simulator 3 (NS3) for Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication scenarios and computed the performance of the algorithm on different parameters of the network. The simulation result of the proposed load aware and priority adaptive traffic congestion control method in VANET improved the packet delivery ratio, packet lost ratio, and end-to-end delay by 96%, 4.1%, and 1102 milliseconds, when compared to TDCCA value of 92%, 5.7%, and 1154 milliseconds, respectively.
    
    VL  - 11
    IS  - 2
    ER  - 

    Copy | Download

Author Information
  • College of Informatics, Kombolcha Institute of Technology, Wollo University, Kombolcha, Ethiopia

  • School of Computing, Debre Berhan University, Debre Berhan, Ethiopia

  • School of Computing, Woldia University, Woldia, Ethiopia

  • College of Informatics, Kombolcha Institute of Technology, Wollo University, Kombolcha, Ethiopia

  • College of Informatics, Kombolcha Institute of Technology, Wollo University, Kombolcha, Ethiopia

  • Sections