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SDN Based 5G VANET: A Review

Author

Listed:
  • Shavan Askar

    (Assistant Professor, CEO of Arcella Telecom, College of Engineering, Erbil Polytechnic University, Erbil, Iraq.)

  • Glena Aziz Qadir

    (Information System Engineering, Erbil Polytechnic University, Erbil, Iraq.)

  • Tarik A. Rashid

    (Professor, Computer Science and Engineering, University of Kurdistan Hawler, Erbil, Iraq.)

Abstract

After 1G, 2G, 3G, and 4G technologies, 5G is a modern wireless system. 5G provides for the development of a modern form of network which connects virtually everyone and everything including computers, items, vehicles, and smartphones. VANETs marked as a critical infrastructure which can offer a wide range of facilities, including traffic control, accident prevention, and travel ease and comfort. VANETs are now being suggested as a primary enabler of the future fifth generation system, when combined with SDN. Using SDN-Based 5G VANETs Provide low latency, high bandwidth, Longer connectivity without failure, and support a greater number of users. In this paper we will describe how generations are developed and what are the differences between them. The main characteristics of using SDN based 5G VANET are discussed. Also, we describe four main attacks of SDN- VANET on security and security services that provided by SDN based 5G VANET. In addition, challenges and needs of SDN based 5G VANETS will be discussed. Then we will review some literatures then summarize their results. Finally, we will conclude the paper.

Suggested Citation

  • Shavan Askar & Glena Aziz Qadir & Tarik A. Rashid, 2021. "SDN Based 5G VANET: A Review," International Journal of Science and Business, IJSAB International, vol. 5(6), pages 131-147.
    • Handle: RePEc:aif:journl:v:5:y:2021:i:6:p:148-162
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    References listed on IDEAS

    as
    1. Chnar Mustaf Mohammed & Shavan Askar, 2021. "Machine Learning for IoT HealthCare Applications: A Review," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 42-51.
    2. Zhwan Mohammed Khalid & Shavan Askar, 2021. "Resistant Blockchain Cryptography to Quantum Computing Attacks," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 116-125.
    3. Baydaa Hassan Husain & Shavan Askar, 2021. "Survey on Edge Computing Security," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 52-60.
    4. Kosrat Dlshad Ahmed & Shavan Askar, 2021. "Deep Learning Models for Cyber Security in IoT Networks: A Review," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 61-70.
    5. Zhala Jameel Hamad & Shavan Askar, 2021. "Machine Learning Powered IoT for Smart Applications," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 92-100.
    6. Kurdistan Ali & Shavan Askar, 2021. "Security Issues and Vulnerability of IoT Devices," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 101-115.
    7. Glena Aziz Qadir & Shavan Askar, 2021. "Software Defined Network Based VANET," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 83-91.
    8. Ibrahim Shamal Abdulkhaleq & Shavan Askar, 2021. "Evaluating the Impact of Network Latency on the Safety of Blockchain Transactions," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 71-82.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Shavan Askar & Chnar Mustaf Mohammed & Shahab Wahhab Kareem, 2021. "Deep Learning in IoT systems: A Review," International Journal of Science and Business, IJSAB International, vol. 5(6), pages 131-147.

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