IEEE Annual Congress on Artificial Intelligence of Things (IEEE AIoT)

14-16 Dec 2026 · Kobe, Japan.

http://www.ieee-aiot.org/2026

Track 5: Ubiquitous IoT: Space, Air, Ground, and Sea

Track Chairs:
Wei Wang, San Diego State University, USA, wwang@sdsu.edu
Kai Li, University of Luxembourg, Luxembourg, kaili@ieee.org
Cheng Qian, Hood College, USA, qian@hood.edu

Description

The concept of Ubiquitous IoT spans multiple operational domains, including Space, Air, Ground, and Sea, each presenting distinct opportunities and challenges for the integration of artificial intelligence (AI) into modern Internet of Things (IoT) infrastructures and Operational Technology (OT) environments. These interconnected domains enable transformative applications across critical sectors, such as energy, transportation, defence, manufacturing, and logistics by leveraging AI-driven capabilities for autonomous operations, intelligent monitoring, predictive maintenance, adaptive resource management, and real-time decision-making. Despite these opportunities, AI-enabled ubiquitous IoT systems face several critical challenges. These include ensuring secure and reliable communications across heterogeneous and often remote environments, processing and integrating massive volumes of multi-source data, managing constrained power and computational resources on edge and unmanned platforms, and maintaining interoperability with legacy OT infrastructures. In addition, AI-driven IoT systems operating in autonomous and mission-critical environments should address stringent requirements related to safety, trustworthiness, regulatory compliance, privacy preservation, and resilience against cyber-physical attacks. Supporting scalable, low-latency, and adaptive intelligence across highly dynamic environments further complicates system design and deployment. When effectively integrated, AI-enabled ubiquitous IoT systems have the potential to transform future OT ecosystems by enabling intelligent, resilient, and autonomous sensing, communication, and actuation across land, sea, air, and space. Such capabilities will support infrastructure management, improved operational efficiency, enhanced situational awareness, and more secure and sustainable industrial and societal services.

Track Topics

• AI-Enabled Ubiquitous IoT Architectures across Space-Air-Ground-Sea Networks
• Edge AI and Distributed Intelligence for IoT and OT Systems
• Federated Learning and Collaborative AI for Ubiquitous IoT
• Secure and Resilient AI-Driven IoT Infrastructures
• Cybersecurity, Trust, and Zero-Trust Architectures for IoT/OT
• AI for Autonomous Unmanned Systems and Robotics
• Large Language Models (LLMs) and Foundation Models for Ubiquitous IoT and OT Systems
• Integrated Sensing, Communication, and Computation (ISAC) for AI-Enabled Ubiquitous IoT Systems
• Digital Twins and Intelligent Cyber-Physical Systems
• Low-Latency and Ultra-Reliable Communications for AIoT
• Space-Based IoT, Satellite Networks, and Non-Terrestrial Communications
• UAV-, Maritime-, and Vehicular-Assisted IoT Networks
• AI-Driven Resource Management and Network Optimization
• Semantic Communications and Intelligent Data Processing for IoT
• Energy-Efficient and Sustainable AIoT Systems
• Privacy Preservation and Trustworthy AI in IoT/OT Environments
• Multi-Modal Sensing, Data Fusion, and Context-Aware Intelligence
• AI for Critical Infrastructure Protection and Smart Industry
• Interoperability, Standardization, and Integration of Legacy OT Systems
• Emerging Applications of AI-Enabled Ubiquitous IoT in Smart Cities, Transportation, Defence, Healthcare, and Logistics

Paper Submission and Publication

Details of paper submission and publication can be found here.