6G时代物联网与多模态大模型融合，带来医疗、农业等场景新可能。
The Future of Internet of Things and Multimodal Language Models in 6G Networks: Opportunities and Challenges
- 融合物联网与多模态语言模型，构建6G智能系统
- 覆盖传感、通信、处理、安全四大支柱，提升系统能力
- 适合关注6G、AI+IoT交叉应用的研究者
基于人工智能与物联网研究的最新趋势，本文综述了将物联网（IoT）与多模态语言模型（MLLMs）协同集成在未来的6G系统中的潜力。重点探讨该融合在医疗、农业和智慧城市等领域的应用，分析物联网集成的四大支柱：传感器、通信、处理与安全。论文全面描述了物联网与MLLM技术及其应用场景，阐明了多模态在各支柱中的作用，并总结了当前最显著的挑战与未来研究方向。本综述为关注MLLM与物联网应用的研究人员提供路线图，突出该快速发展的领域中的机遇与挑战，强调需应对数据可用性、计算开销、隐私保护及实时处理等问题，以充分释放物联网、MLLM与6G技术的潜能。
原文摘要 · Abstract (English)
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
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