LLMs and IoT: A Comprehensive Survey on Large Language Models and the Internet of Things

The Internet of Things (IoT) has emerged as a technological cornerstone, enabling highly interconnected systems that integrate billions of diverse devices, with a combined data output estimated at hundreds of millions of terabytes per day. The rise of Large Language Models (LLMs) presents new opportunities for managing these devices, processing the data they generate, and addressing the technological and societal challenges posed by IoT ecosystems. However, the integration of LLMs into IoT also introduces significant challenges. This article offers the most comprehensive survey to date on the integration of LLMs into IoT ecosystems. We cover various technical layers, including device, software engineering, sensing, networking, data processing, privacy and security, and human interaction. We synthesize insights from over 300 articles, identify open research gaps, and highlight promising future directions, ranging from semantic reasoning and communication to the integration of quantum computing. By addressing the characteristics, challenges, and opportunities associated with LLM integration, this article serves as a foundational resource for researchers and practitioners aiming to enhance IoT functionalities with LLMs while navigating the associated complexities.

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Publication Details

Published
2025-09-03
DOI
https://doi.org/10.36227/techrxiv.174063060.01215875/v3
Citations
1
Primary Topic
Natural Language Processing Techniques
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article
Field-Weighted Citation Impact
2.48
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LLMs and IoT: A Comprehensive Survey on Large Language Models and the Internet of Things

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LLMs and IoT: A Comprehensive Survey on Large Language Models and the Internet of Things

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article en
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Abstract

The Internet of Things (IoT) has emerged as a technological cornerstone, enabling highly interconnected systems that integrate billions of diverse devices, with a combined data output estimated at hundreds of millions of terabytes per day. The rise of Large Language Models (LLMs) presents new opportunities for managing these devices, processing the data they generate, and addressing the technological and societal challenges posed by IoT ecosystems. However, the integration of LLMs into IoT also introduces significant challenges. This article offers the most comprehensive survey to date on the integration of LLMs into IoT ecosystems. We cover various technical layers, including device, software engineering, sensing, networking, data processing, privacy and security, and human interaction. We synthesize insights from over 300 articles, identify open research gaps, and highlight promising future directions, ranging from semantic reasoning and communication to the integration of quantum computing. By addressing the characteristics, challenges, and opportunities associated with LLM integration, this article serves as a foundational resource for researchers and practitioners aiming to enhance IoT functionalities with LLMs while navigating the associated complexities.

Openalex Percentile: Top 9%
Natural Language Processing Techniques
2.48
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LLMs and IoT: A Comprehensive Survey on Large Language Models and the Internet of Things — Pan Hui, Fatemeh Sarhaddi, et al. · (2025) | TGRS Research Map | TGRS