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

--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. I. INTRODUCTION The Internet of Things (IoT) started in 1999 when Kevin Ashton introduced the idea [1]. IoT can greatly benefit the global economy, but it also brings risks such as security issues, privacy concerns, and moral questions about surveillance. A diverse array of corporations and research organizations have projected various expectations regarding the anticipated influence of the Internet of Things (IoT) on both the Internet and the global economy throughout the upcoming decade. According to [2], an estimated 100 billion IoT connections will be established by 2025. They also predict that the potential economic impact attributed to IoT could reach as much as 11 trillion dollars annually by 2025.