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.

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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
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article

Introduction to the Special Issue on LLM Empowered Internet of Things Part 1

Stephan Sigg, Luca Mottola, Jiliang Wang, Wei Dong
ACM Transactions on Internet of Things
Big Data and Digital Economy
article

Introduction to the Special Issue on LLM Empowered Internet of Things Part 1

Stephan Sigg, Luca Mottola, Jiliang Wang, Wei Dong
article en

Abstract

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.

ACM Transactions on Internet of ThingsVol. 6(4)
Zhejiang University (CN), Politecnico di Milano (IT), Tsinghua University (CN), Aalto University (FI)
Openalex Percentile: Top 50%
Big Data and Digital Economy
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