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Machine learning based cluster formation in vehicular communication

Author

Listed:
  • Dost Muhammad Saqib Bhatti

    (Dawood University of Engineering and Technology
    Hanyang University)

  • Yawar Rehman

    (NED University of Engineering and Technology)

  • Prem Singh Rajput

    (Dawood University of Engineering and Technology)

  • Saleem Ahmed

    (Dawood University of Engineering and Technology)

  • Pardeep Kumar

    (Quaid-e-Awam University of Engineering, Science and Technology)

  • Dileep Kumar

    (Quaid-e-Awam University of Engineering, Science and Technology)

Abstract

Nowadays vehicular communication has become a widespread phenomenon, which will cause spectrum scarcity. By utilizing the cognitive radio in vehicular communication can be an effective solution for communication between vehicles. However, it requires robust sensing model for its efficient usage. Hence, vehicles sense the spectrum and deliver their sensed information to the eNodeB. For spectrum sensing, numerous number of vehicles can bring up overhead for the eNodeB. Grouping the vehicles into clusters is one of the most effective method to lower the burden for eNodeB. We have proposed a novel clustering method to enhance the performance of vehicular communication. The proposed method has formed the clusters using artificial intelligence. Our proposed method achieves the highest performance by forming a best group of cluster heads and by selecting finest cluster members using machine learning. The maximized throughput is achieved using proposed method for vehicular communication. Moreover, the clusters are formed in such a way that highest energy efficiency is attained.

Suggested Citation

  • Dost Muhammad Saqib Bhatti & Yawar Rehman & Prem Singh Rajput & Saleem Ahmed & Pardeep Kumar & Dileep Kumar, 2021. "Machine learning based cluster formation in vehicular communication," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 78(1), pages 39-47, September.
    • Handle: RePEc:spr:telsys:v:78:y:2021:i:1:d:10.1007_s11235-021-00798-7
    DOI: 10.1007/s11235-021-00798-7
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    References listed on IDEAS

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    1. S. Zeadally & J. Guerrero & J. Contreras, 2020. "A tutorial survey on vehicle-to-vehicle communications," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 73(3), pages 469-489, March.
    2. Jeng-Shyang Pan & Shi-Huang Chen, 2020. "Foreword to the special issue on intelligent vehicular network and applications," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 75(2), pages 141-143, October.
    3. Fatma Loussaief & Hend Marouane & Hend Koubaa & Faouzi Zarai, 2020. "Radio resource management for vehicular communication via cellular device to device links: review and challenges," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 73(4), pages 607-635, April.
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