mlsanityData to 14 Oct 2026

The Future of Internet of Things and Multimodal Language Models in 6G Networks: Opportunities and Challenges

arXiv 2504.13971 ↗First posted 17 Apr 2025cs.CY cs.AI cs.ETcited by 0

Not on the map. Why?

Abstract (arXiv)

Based on recent trends in artificial intelligence and IoT research. The cooperative potential of integrating the Internet of Things (IoT) and Multimodal Language Models (MLLMs) is presented in this survey paper for future 6G systems. It focuses on the applications of this integration in different fields, such as healthcare, agriculture, and smart cities, and investigates the four pillars of IoT integration, such as sensors, communication, processing, and security. The paper provides a comprehensive description of IoT and MLLM technologies and applications, addresses the role of multimodality in each pillar, and concludes with an overview of the most significant challenges and directions for future research. The general survey is a roadmap for researchers interested in tracing the application areas of MLLMs and IoT, highlighting the potential and challenges in this rapidly growing field. The survey recognizes the need to deal with data availability, computational expense, privacy, and real-time processing to harness the complete potential of IoT, MLLM, and 6G technology

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 23 of its 48 references that are in the map. First posted on arXiv 17 Apr 2025.

Builds on

23 of 48 references.

References · 23

  1. 2017Attention Is All You Needcited by 60,361
  2. 2021The Power of Scale for Parameter-Efficient Prompt Tuningcited by 3,795
  3. 2023PaLM-E: An Embodied Multimodal Language Modelcited by 2,071
  4. 2024MM-LLMs: Recent Advances in MultiModal Large Language Modelscited by 278
  5. 2024The Revolution of Multimodal Large Language Models: A Surveycited by 137
  6. 2024Mobile Edge Intelligence for Large Language Models: A Contemporary Surveycited by 128
  7. 2023Drive as You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous Vehiclescited by 100
  8. 2023Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunitiescited by 90
  9. 2021The Road Towards 6G: A Comprehensive Surveycited by 40
  10. 2023Revolutionizing Cyber Threat Detection with Large Language Models: A privacy-preserving BERT-based Lightweight Model for IoT/IIoT Devicescited by 39
  11. 2023Towards provably efficient quantum algorithms for large-scale machine-learning modelscited by 32
  12. 2024A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directionscited by 25
11 more
  1. 2023Extended Agriculture-Vision: An Extension of a Large Aerial Image Dataset for Agricultural Pattern Analysiscited by 14
  2. 2023Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challengescited by 14
  3. 2024IoT-LM: Large Multisensory Language Models for the Internet of Thingscited by 14
  4. 2024When IoT Meet LLMs: Applications and Challengescited by 11
  5. 20246G comprehensive intelligence: network operations and optimization based on Large Language Modelscited by 9
  6. 2024Using Multimodal Large Language Models for Automated Detection of Traffic Safety Critical Eventscited by 7
  7. 2022When Machine Learning Meets Spectrum Sharing Security: Methodologies and Challengescited by 6
  8. 2025Foundation Models for CPS-IoT: Opportunities and Challengescited by 5
  9. 2023Large Language Models and Foundation Models in Smart Agriculture: Basics, Opportunities, and Challengescited by 4
  10. 2025Enhancing Cybersecurity in Critical Infrastructure with LLM-Assisted Explainable IoT Systemscited by 2
  11. 2022LSTM-RASA Based Agri Farm Assistant for Farmerscited by 1

Built on by

Not cited yet.

Similar, not cited

Close in wording, no citation either way

  1. 2025Large Language Models in the IoT Ecosystem -- A Survey on Security Challenges and Applications
  2. 2026A Survey on AI for 6G: Challenges and Opportunities
  3. 2025Multimodal LLM Integrated Semantic Communications for 6G Immersive Experiences
  4. 2023Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses
  5. 2025Talk with the Things: Integrating LLMs into IoT Networks ↗
  6. 2025IoT-MCP: Bridging LLMs and IoT Systems Through Model Context Protocol
  7. 2026Kissan-Dost: Bridging the Last Mile in Smallholder Precision Agriculture with Conversational IoT
  8. 2026Closing the Semantic-Edge Gap: Tiny Language Models for 6G Wireless Intelligence ↗