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The incorporation of 6G standard can significantly boost the communication performance of Internet-of-Vehicle (IoV); however, it is still in primary research state and demands identification and mitigation of various challenges and limitation. In this perspective, Artificial Intelligence (AI) has proven its capabilities of solving complex problems. Therefore, this manuscript presents a novel robust and sustainable computational framework of an IoV by harnessing AI-modelling considering a collaborative ecosystem of IoV and cloud. The study contributes towards a simplified evaluation of IoV channel properties for supporting 6G network adhering to its standards. A master-slave model has been presented towards developing a novel sustainability modelling using AI. The outcome exhibits 65% of reduced processing time in contrast to conventional unsustainable model.

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Robust Computational Framework Towards Sustainable Internet-of-Vehicle Using Artificial Intelligence

  • 会议论文

  • 发表日期：

    2025年

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  • Madhusudhan Golla,
  • Veena Kalludi Narasimhaiah,
  • Ajay Betur Puttappa

摘要

The incorporation of 6G standard can significantly boost the communication performance of Internet-of-Vehicle (IoV); however, it is still in primary research state and demands identification and mitigation of various challenges and limitation. In this perspective, Artificial Intelligence (AI) has proven its capabilities of solving complex problems. Therefore, this manuscript presents a novel robust and sustainable computational framework of an IoV by harnessing AI-modelling considering a collaborative ecosystem of IoV and cloud. The study contributes towards a simplified evaluation of IoV channel properties for supporting 6G network adhering to its standards. A master-slave model has been presented towards developing a novel sustainability modelling using AI. The outcome exhibits 65% of reduced processing time in contrast to conventional unsustainable model.