arXiv:2504.07635cs.AI2025-04综述被引 9

综述生成式AI与物联网融合的机遇与挑战

Generative Artificial Intelligence for Internet of Things Computing: A Systematic Survey

  • 基于PRISMA方法系统梳理生成式AI与物联网融合研究
  • 构建对比框架,分析跨领域应用现状与未来方向
  • 适合关注AI+IoT交叉创新的研究者和从业者

生成式人工智能(GenAI)与物联网(IoT)的融合正引发广泛关注。二者各自持续演进并广泛普及,正在自发重塑医疗、制造和智慧城市等多个领域。这种趋势推动了对GenAI-IoT协同潜力的深入研究,包括其相互作用机制及对各自应用场景的革新程度。然而,现有研究多聚焦于特定、狭窄的应用场景,缺乏对整体生态系统的全面分析。本综述旨在填补这一空白,通过遵循PRISMA方法的系统文献回顾,提出比较框架并明确研究问题,全面探讨GenAI与IoT计算融合的过去、现在与未来方向,为专家与初学者提供有价值的洞见。

原文摘要 · Abstract (English)

The integration of Generative Artificial Intelligence (GenAI) within the Internet of Things (IoT) is garnering considerable interest. This growing attention stems from the continuous evolution and widespread adoption they are both having individually, enough to spontaneously reshape numerous sectors, including Healthcare, Manufacturing, and Smart Cities. Hence, their increasing popularity has catalyzed further extensive research for understanding the potential of the duo GenAI-IoT, how they interplay, and to which extent their synergy can innovate the state-of-the-art in their individual scenarios. However, despite the increasing prominence of GenAI for IoT Computing, much of the existing research remains focused on specific, narrowly scoped applications. This fragmented approach highlights the need for a more comprehensive analysis of the potential, challenges, and implications of GenAI integration within the broader IoT ecosystem. This survey exactly aims to address this gap by providing a holistic overview of the opportunities, issues, and considerations arising from the convergence of these mainstream paradigms. Our contribution is realized through a systematic literature review following the PRISMA methodology. A comparison framework is presented, and well-defined research questions are outlined to comprehensively explore the past, present, and future directions of GenAI integration with IoT Computing, offering valuable insights for both experts and newcomers.

生成式AI物联网综述交叉创新

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