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September 10, 2025Journal of Engineering and Applied ScienceOpen Access

Future perspectives on internet of vehicles resource management: digital twin-enabled edge computing frameworks

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Authors

JXJihong XieWuhan Technical College of Communications贵吴贵鹃 吴Wuhan CollegeXZXiang ZhouNational University of Defense Technology

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Implication

This analysis demonstrates resource management strategies in IoV, utilizing edge computing and digital twins, highlighting their efficacy.

Key Points

  • Effective management of resources reduced response times and improved system performance in IoV.
  • Digital twins replicate real entities, facilitating real-time diagnostics and maintenance for optimal traffic flow.
  • Various resource management strategies, including clustering and offloading, were evaluated for their strengths and weaknesses.
  • Integration of artificial intelligence and security considerations are critical for advancing resource management in IoV.

Cite This Study

Xie et al. (2025) studied this question.

synapsesocial.com/papers/68c23e02b210217d64790d81https://doi.org/10.1186/s44147-025-00692-y
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