Integrating unmanned aerial vehicles (UAVs) with federated learning (FL) has been seen as
a promising paradigm for dealing with the massive amounts of data generated by intelligent …

Edge caching is a promising approach to reduce duplicate content transmission in Internet-
of-Vehicles (IoVs). Several Reinforcement Learning (RL) based edge caching methods have …

Internet of Vehicles (IoV) is a network that connects vehicles and everything. IoV shares
traffic data by connecting vehicles with the surrounding environment, which brings huge …

As unmanned aerial vehicle (UAV) technology expands into diverse applications, the
demand for enhanced performance intensifies. Blockchain sharding technology offers …

Driven by the Quality of Experience (QoE) demands for video analysis applications within
contexts such as smart cities, Industrial Internet of Things (IoT), and Internet of Vehicles …

The Internet of Vehicles (IoV) represents a paradigm shift in vehicular communication,
aiming to enhance traffic efficiency, safety, and the driving experience by leveraging …

Mobile Edge Computing (MEC), with advantages in high bandwidth and low latency,
enables the development of numerous promising commercial services on edge servers near …

Edge caching is crucial for enhancing the performance of vehicular networks primarily by
reducing service latency and improving data availability. However, existing research …

Blockchain-based vehicular edge computing (VEC) is regarded as a promising computing
paradigm that can enhance the computing capabilities of mobile vehicles while ensuring …

The emergence of communication-based train control (CBTC) system within urban rail
transport has improved the efficiency of safe train operations. At the same time, the CBTC …