Special lssues
Table of Content

Software-defined Internet-of-Vehicles (SD-IoV) leveraging AI, 5G and NFV

Submission Deadline: 30 May 2023 (closed)

Guest Editors

Dr. Jehad Ali, Ajou University, South Korea.
Dr. Sahib Khan, University of Engineering and Technology, Pakistan.
Dr. Ikram Syed, National University of Science and Technology, Pakistan.


By using controller intelligence and programmability, software-defined networking (SDN) may dynamically and efficiently manage resources in order to supply a wide range of different services. SDN enables network systems to coordinate and estimate available resources, as well as dynamically adapt to the environment, to optimize resource consumption.

Artificial Intelligence and Machine learning are proving to be an effective method of increasing the intelligence of SDN controllers. Techniques such as machine learning and artificial intelligence (AI) are useful in network communication because they allow for rapid adaptability. It is possible to make efficient use of this increase in intelligence of the SDN controller in the context of the Software-Defined Internet-of-Vehicles (SD-IoV). The controller that has been trained with powerful AI and Machine Learning algorithms may improve the supply of End-to-End (E2E) services, security, and resource management in the SD-IoV environment.

This special issue look forward to provide the most up-to-date information on state-of-the-art SDN technologies that are based on machine learning and AI methods, as well as new research findings involving a broad variety of features within the intelligent SDN technology for SD-IoV.


Potential topics include but are not limited to the following:
1. Load balancing in SD-IoV
2. Controller placement in SD-IoV
3. Ultra-reliable low latency-based SD-IoV
4. Artificial intelligence enabled SD-IoV
5. Security and reliability in SD-IoV
6. Leveraging NFV in SD-IoV
7. MEC based efficient solutions in SD-IOV
8. Machine learning based SD-IoV
9. Energy efficient SD-IoV based solutions
10. Massive machine type communication leveraging 5G in SD-IOV
11 Network slicing in SD-IoV leveraging 5G
12. Named data leveraging SD-IoV
13. DDoS attacks detection and prevention mechanisms in SD-IoV

Published Papers

  • Open Access


    Data Analysis of Network Parameters for Secure Implementations of SDN-Based Firewall

    Rizwan Iqbal, Rashid Hussain, Sheeraz Arif, Nadia Mustaqim Ansari, Tayyab Ahmed Shaikh
    CMC-Computers, Materials & Continua, Vol.77, No.2, pp. 1575-1598, 2023, DOI:10.32604/cmc.2023.042432
    (This article belongs to the Special Issue: Software-defined Internet-of-Vehicles (SD-IoV) leveraging AI, 5G and NFV)
    Abstract Software-Defined Networking (SDN) is a new network technology that uses programming to complement the data plane with a control plane. To enable safe connection, however, numerous security challenges must be addressed. Flooding attacks have been one of the most prominent risks on the internet for decades, and they are now becoming challenging difficulties in SDN networks. To solve these challenges, we proposed a unique firewall application built on multiple levels of packet filtering to provide a flooding attack prevention system and a layer-based packet detection system. This study offers a systematic strategy for wrapping up… More >

  • Open Access


    NPBMT: A Novel and Proficient Buffer Management Technique for Internet of Vehicle-Based DTNs

    Sikandar Khan, Khalid Saeed, Muhammad Faran Majeed, Salman A. AlQahtani, Khursheed Aurangzeb, Muhammad Shahid Anwar
    CMC-Computers, Materials & Continua, Vol.77, No.1, pp. 1303-1323, 2023, DOI:10.32604/cmc.2023.039697
    (This article belongs to the Special Issue: Software-defined Internet-of-Vehicles (SD-IoV) leveraging AI, 5G and NFV)
    Abstract Delay Tolerant Networks (DTNs) have the major problem of message delay in the network due to a lack of end-to-end connectivity between the nodes, especially when the nodes are mobile. The nodes in DTNs have limited buffer storage for storing delayed messages. This instantaneous sharing of data creates a low buffer/shortage problem. Consequently, buffer congestion would occur and there would be no more space available in the buffer for the upcoming messages. To address this problem a buffer management policy is proposed named “A Novel and Proficient Buffer Management Technique (NPBMT) for the Internet of… More >

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