Introduction to the Special Issue on LLM Empowered Internet of Things Part 1
ACM TIOT launched a special issue on the theme of LLM Empowered Internet of Things, exploring the intersection of Large Language Models (LLMs) and the Internet of Things (IoT). As IoT continues to expand, advanced computational models are increasingly essential for processing and analyzing the massive data generated by interconnected devices. This special issue focuses on how LLMs can enhance IoT systems in several key areas. These include improving context-aware perception and retrieval in complex IoT environments, applications of LLMs in human–computer interaction as well as applications of AI agents for IoT. The issue also highlights emerging trends in low-code and zero-code development for IoT programming, and the deployment of AI models at the edge. These research directions reflect the diverse and evolving landscape of IoT and LLM integration, offering innovative solutions to real-world challenges.
Authors
- Stephan Sigg (ORCID: https://orcid.org/0000-0001-6118-3355)
- Luca Mottola (ORCID: https://orcid.org/0000-0003-4560-9541)
- Jiliang Wang (ORCID: https://orcid.org/0000-0003-1464-3245)
- Wei Dong (ORCID: https://orcid.org/0000-0003-0498-1494)
Institutions
- Zhejiang University (CN)
- Politecnico di Milano (IT)
- Tsinghua University (CN)
- Aalto University (FI)
Publication Details
- Journal
- ACM Transactions on Internet of Things
- Published
- 2025-11-30
- DOI
- https://doi.org/10.1145/3774947
- Primary Topic
- Big Data and Digital Economy
- Type
- article
- Field-Weighted Citation Impact
- 0.00