About

The rapid evolution of 6G communication systems is expected to fundamentally transform the design and deployment of future Internet of Things (IoT) ecosystems by enabling pervasive intelligence, massive connectivity, ultra-low latency, and seamless integration of computing and communication resources. However, realizing such intelligent and large-scale IoT systems requires addressing several critical challenges related to distributed computing, resource management, scalability, mobility, security, and interoperability across heterogeneous infrastructures. 

The 6DCIoT workshop focuses on the emerging paradigm of distributed computing for intelligent and pervasive 6G-enabled IoT systems, where computation, intelligence, sensing, and networking functionalities are collaboratively distributed across end devices, edge servers, cloud platforms, terrestrial networks, aerial platforms, vehicular systems, and non-terrestrial infrastructures. The workshop aims to address key technical challenges including distributed intelligence and edge AI, federated and collaborative learning, mobility-aware resource orchestration, task offloading, service migration, context-aware computing, digital twins, cyber-physical systems, AI-native networking, energy-efficient operation, security and privacy preservation, and the integration of terrestrial and non-terrestrial networks for large-scale pervasive applications. Particular emphasis will be placed on emerging research directions that bridge pervasive computing and next-generation communication systems, including intelligent sensing, edge-cloud continuum architectures, distributed decision-making, autonomous network management, sustainable computing, and real-world deployments of intelligent IoT services.

Download the Call for Papers.

Topics of Interest

We welcome original research, position papers, experimental studies, and system prototypes in areas including (but not limited to):

• Distributed and hierarchical computing architectures for 6G-enabled IoT

• Mobility-aware task offloading, resource allocation, and session continuity

• Integration of terrestrial, aerial, and satellite networks (T-NTN) for IoT

• Edge intelligence, lightweight DNN inference, and collaborative learning

• Routing, scheduling, and AI-assisted optimization for dynamic IoT systems

• Delay/Disruption-Tolerant Networking (DTN/DTDN) and fault-tolerant protocol design

• Energy-efficient MAC and cross-layer optimization for constrained IoT

• Vehicular IoT, V2X communication, and UAV-assisted networking

• NTN-assisted long-range sensing and LPWAN–NTN hybrid frameworks

• Testbeds, prototypes, SDR/FPGA implementations, and reproducible experiments

• Security, privacy, and resilience in distributed IoT–NTN environments

• Standardization challenges and emerging 6G research directions