The Internet of Things in the Era of Generative AI: Vision and Challenges
Advancements in generative AI hold immense promise to push the Internet of Things (IoT) to the next level. In this article, we share our vision on the IoT in the era of generative AI. We discuss some of the most important applications of generative AI in IoT-related domains. We also identify some of the most critical challenges and discuss current gaps as well as promising opportunities on enabling generative AI for the IoT. We hope this article can inspire new research on the IoT in the era of generative AI.
Authors
- Mingyu Zong (ORCID: https://orcid.org/0009-0009-8523-0537)
- Zhongwei Wan (ORCID: https://orcid.org/0000-0002-2790-0290)
- Bhaskar Krishnamachari (ORCID: https://orcid.org/0000-0002-9994-9931)
- Samiul Alam (ORCID: https://orcid.org/0000-0002-8458-4642)
- Arvin Hekmati (ORCID: https://orcid.org/0000-0003-0017-9701)
- Xin Wang (ORCID: https://orcid.org/0009-0007-6483-9357)
- Mi Zhang (ORCID: https://orcid.org/0000-0001-7002-6757)
Institutions
- University of Southern California (US)
- The Ohio State University (US)
Publication Details
- Journal
- IEEE Internet Computing
- Published
- 2024-08-16
- DOI
- https://doi.org/10.1109/mic.2024.3443169
- Citations
- 22
- Primary Topic
- IoT and Edge/Fog Computing
- Type
- article
- Field-Weighted Citation Impact
- 7.68
Funders
- National Science Foundation