ARTNet: AI-based Resource Allocation and Task Offloading in a Reconfigurable Internet of Vehicular Networks

Muhammad Ibrar, Aamir Akbar, Roohullah Jan, Mian Ahmad Jan, Lei Wang, Houbing Song, Nadir Shah

    Research output: Contribution to journalArticlepeer-review


    The convergence of Software-Defined Networking (SDN) and Internet of Vehicular (IoV) integrated with Fog Computing (FC), known as Software Defined Vehicular based FC (SDV-F), has recently been established to take advantage of both paradigms and efficiently control the wireless networks. SDV-F tackles numerous problems, such as scalability, load-balancing, energy consumption, and security. It lags, however, in providing a promising approach to enable ultra-reliable and delay-sensitive applications with high vehicle mobility over SDV-F. We propose ARTNet, an AI-based Vehicle-to-Everything (V2X) framework for resource distribution and optimized communication using the SDV-F architecture. ARTNet offers ultra-reliable and low-latency communications, particularly in highly dynamic environments, which is still a challenge in IoV. ARTNet is composed of intelligent agents/controllers, to make decisions intelligently about (i) maximizing resource utilization at the fog layer, and (ii) minimizing the average end-to-end delay of time-critical IoV applications. Moreover, ARTNet is designed to assign a task to fog nodes based on their states. Our experimental results show that considering a dynamic IoV environment, ARTNet can efficiently distribute the fog layer tasks while minimizing the delay.

    Original languageEnglish
    Pages (from-to)67-77
    Number of pages11
    JournalIEEE Transactions on Network Science and Engineering
    Issue number1
    Early online date25 Dec 2020
    Publication statusPublished - Jan 2022

    Bibliographical note

    © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.


    • Fog Computing
    • Internet of Vehicles
    • Machine Learning
    • Software Defined Network
    • Task Offloading


    Dive into the research topics of 'ARTNet: AI-based Resource Allocation and Task Offloading in a Reconfigurable Internet of Vehicular Networks'. Together they form a unique fingerprint.

    Cite this