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A tutorial survey on vehicle-to-vehicle communications

Author

Listed:
  • S. Zeadally

    (University of Kentucky)

  • J. Guerrero

    (University de Colima)

  • J. Contreras

    (University de Colima)

Abstract

The automotive industry is undergoing major transformation, with the emergence of vehicular networks, intelligent transportation systems, and autonomous cars over the last decade. These technologies are made possible by recent advances of software, hardware, and communication systems, along with the development of various applications and standards. Today, new technologies are incorporated into cars that detect potential road hazards and improve the driving experience. There are three key components being integrated into cars: sensors, information systems, and communication technologies to create connected vehicle networks. Vehicle-to-vehicle (V2V) communication is being used in connected networks to reduce traffic congestion, improve passengers’ safety, and enable the efficient management of vehicles on roads. Here, we present recent research developments and current trends in V2V communications. We discuss architectural issues and wireless technologies that support V2V. We also present recently proposed security solutions for V2V. Finally, we discuss outstanding challenges for enabling the deployment and adoption of V2V technology.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:telsys:v:73:y:2020:i:3:d:10.1007_s11235-019-00639-8
    DOI: 10.1007/s11235-019-00639-8
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    References listed on IDEAS

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    1. Zhaoxia Peng & Guoguang Wen & Ahmed Rahmani & Yongguang Yu, 2015. "Distributed consensus-based formation control for multiple nonholonomic mobile robots with a specified reference trajectory," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(8), pages 1447-1457, June.
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    Cited by:

    1. Shahrzad Sedaghat & Amir Hossein Jahangir, 2022. "FRT-SDN: an effective firm real time routing for SDN by early removal of late packets," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 80(3), pages 359-382, July.
    2. Martine Wahl & Patrick Sondi & Lucas Rivoirard, 2021. "Enhanced CBL clustering performance versus GRP, OLSR and AODV in vehicular Ad Hoc networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 76(4), pages 525-540, April.
    3. 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.
    4. Kumar Prateek & Nitish Kumar Ojha & Fahiem Altaf & Soumyadev Maity, 2023. "Quantum secured 6G technology-based applications in Internet of Everything," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 82(2), pages 315-344, February.

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