Reliable Internet of Things: Challenges and future trends
The Internet of Things (IoT) is a vital component of many future industries. By intelligent
integration of sensors, wireless communications, computing techniques, and data analytics …
integration of sensors, wireless communications, computing techniques, and data analytics …
AI-Enhanced Cloud-Edge-Terminal Collaborative Network: Survey, Applications, and Future Directions
The cloud-edge-terminal collaborative network (CETCN) is considered as a novel paradigm
for emerging applications owing to its huge potential in providing low-latency and ultra …
for emerging applications owing to its huge potential in providing low-latency and ultra …
Mobility-aware cooperative caching in vehicular edge computing based on asynchronous federated and deep reinforcement learning
Vehicular edge computing (VEC) can learn and cache most popular contents for vehicular
users (VUs) in the roadside units (RSUs) to support real-time vehicular applications …
users (VUs) in the roadside units (RSUs) to support real-time vehicular applications …
Learning-based resource allocation for backscatter-aided vehicular networks
Heterogeneous backscatter networks are emerging as a promising solution to address the
proliferating coverage and capacity demands of next-generation vehicular networks …
proliferating coverage and capacity demands of next-generation vehicular networks …
Reliable communications for cybertwin-driven 6G IoVs using intelligent reflecting surfaces
Cybertwin is the intelligent data analytics agent of the future that interacts with the Internet of
Vehicles using 6G to make intelligent decisions for automotive application reliability …
Vehicles using 6G to make intelligent decisions for automotive application reliability …
Federated learning for digital twin-based vehicular networks: Architecture and challenges
A digital twin uses a virtual model of the physical system to fulfill the diverse requirements
(eg, latency, reliability, quality of physical experience) for emerging vehicular network …
(eg, latency, reliability, quality of physical experience) for emerging vehicular network …
Joint computation offloading and data caching in multi-access edge computing enabled internet of vehicles
Internet of Vehicles (IoV) has attracted global research interests across extensive
applications. Due to the significant increase in the number of vehicles accessing the Internet …
applications. Due to the significant increase in the number of vehicles accessing the Internet …
Toward reliable DNN-based task partitioning and offloading in vehicular edge computing
Modern vehicles have become typical consumer electronics with the development of
sensing, transmission, and computation technologies. The emerging intelligent …
sensing, transmission, and computation technologies. The emerging intelligent …
Intelligent energy prediction techniques for fog computing networks
Energy Efficiency is a key concern for future fog-enabled Internet of Things (IoT). Since Fog
Nodes (FNs) are energy-constrained devices, task offloading techniques must consider the …
Nodes (FNs) are energy-constrained devices, task offloading techniques must consider the …
Intercell Interference Coordination for UAV enabled URLLC with perfect/imperfect CSI using cognitive radio
Ultra-reliable and low latency communications (URLLC) will be the backbone of the
upcoming sixth-generation (6G) systems and will facilitate mission-critical scenarios. A …
upcoming sixth-generation (6G) systems and will facilitate mission-critical scenarios. A …