arXiv cs.AI· Fabrizio Mangione, Claudio Savaglio, Giancarlo Fortino·· 13 小时前AI 评分20
GenAI 与 IoT 计算融合综述：基于 PRISMA 的系统性文献回顾
Generative Artificial Intelligence for Internet of Things Computing: A Systematic Survey
AI 导读
一篇系统综述采用 PRISMA 方法梳理 GenAI 与 IoT 计算融合的研究现状，指出既有工作多聚焦狭窄的具体应用，缺乏对整体生态的全面分析。该综述提出比较框架并设定明确研究问题，覆盖该领域过去、现在与未来方向，成果发表于 ACM Computing Surveys 第 58 卷第 14 期。
正文 · 原文
Abstract: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.
| Subjects: | Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2504.07635 [cs.AI] |
| (or arXiv:2504.07635v2 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2504.07635 arXiv-issued DOI via DataCite |
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| Journal reference: | Mangione, F., Savaglio, C., & Fortino, G. (2026). Generative artificial intelligence for internet of things computing: A systematic survey. ACM Computing Surveys, 58(14), 1-37 |
Submission history
From: Fabrizio Mangione [view email]
[v1]
Thu, 10 Apr 2025 10:32:18 UTC (2,950 KB)
[v2]
Wed, 21 Oct 2026 16:01:15 UTC (1,247 KB)
来源：arXiv cs.AI · arxiv.org