Edge intelligence (EI) migrates data and artificial intelligence (AI) to the “edge” of a network,
enhancing the high-bandwidth and low-latency of wireless data transmission with the …

Vehicle control is one of the most critical challenges in autonomous vehicles (AVs) and
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …

There has been an enormous increase in information flow and communication data due to
the rapid rise in the number of Internet of Everything (IoE) devices and the development of …

The deployment of 5G technology has drawn attention to different computer-based
scenarios. It is useful in the context of Smart Cities, the Internet of Things (IoT), and Edge …

Online social networks have grown exponentially in the recent years while finding
applications in real life like marketing, recommendation systems, and social awareness …

In existing research on cluster head selection schemes in the Internet of Vehicles (IoV),
designing a stable cluster structure poses a significant challenge. Choosing a centrally …

In the transformative landscape of mobile edge computing (MEC), where the convergence of
computation and communication fuels the era of ubiquitous connectivity, formidable …

Federated learning is an enabling technology for the services in Internet of vehicles because
it can effectively alleviate privacy issues in data circulation and diversified intelligent …

Efficient and reliable clustering mechanisms play a crucial role in enhancing the energy
management efficiency of underwater wireless sensor networks (UWSNs). In recent years …

Delay tolerant networks (DTNs) is a network evolved from mobile networks. Differing from
the traditional network, which has a stable end‐to‐end transmission path, DTNs are sparse …