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<p>The Internet of Vehicles (IoV) is a new era for automotive industry, and the IOV has the potential to improve the performance, security, and efficiency of the harmonious movement on the special vehicle environment. A key challenge facing IoV solutions is related to the optimum management and utilization of the available resources efficiently. DT offers potential promising perspectives to enhance resource management and improve performance, particularly when combined with advanced algorithms such as DRL, although practical implementation remains challenging. This paper tries to address how digital twins can improve resource allocation within the IOVs by comparing different methods and predicting what could go wrong across various sectors, trying to have deeper insights into system architecture.</p>

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Resource Allocation in IOV Based on Digital Twin Network: A Survey

  • 期刊论文

  • 发表日期：

    2026年2月12日

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  • Wiem Jlassi,
  • Sana Ghannay,
  • Sonia Mettali Gammar

摘要

The Internet of Vehicles (IoV) is a new era for automotive industry, and the IOV has the potential to improve the performance, security, and efficiency of the harmonious movement on the special vehicle environment. A key challenge facing IoV solutions is related to the optimum management and utilization of the available resources efficiently. DT offers potential promising perspectives to enhance resource management and improve performance, particularly when combined with advanced algorithms such as DRL, although practical implementation remains challenging. This paper tries to address how digital twins can improve resource allocation within the IOVs by comparing different methods and predicting what could go wrong across various sectors, trying to have deeper insights into system architecture.