Today, cloud computation offloading may not be an appropriate solution for delay-sensitive
applications due to the long distance between end-devices and remote datacenters. In …

Fog computing has emerged as a computing paradigm for resource-restricted Internet of
things (IoT) devices to support time-sensitive and computationally intensive applications …

The exponential growth in Internet of Things (IoT) devices and the limitations of cloud
computing in terms of latency and quality of service for time-sensitive applications have led …

Abstract Connected Autonomous Vehicles (CAVs) aim to provide various smart
transportation applications which have computation-intensive tasks. The vehicles having …

The demand for vehicular networks is prolifically emerging as it supports advancing in
capabilities and qualities of vehicle services. However, this vehicular network cannot solely …

Owing to their limited computing power and battery level, wireless users (WUs) can hardly
handle compute-intensive workflows by the local processor. Multi-access edge computing …

Vehicular ad hoc networks (VANETs) are evolving rapidly with the advent of fog computing
(FC), which enhances their capabilities by bringing computational resources closer to the …

Abstract In 5G networks, Network Slicing (NS) allows service providers (SPs) to create
customized standalone networks on shared platforms provided by infrastructure providers …

In the era of fifth-generation (5G)-enabled vehicular edge computing (VEC), efficient data
offloading strategies are essential. The complexities inherent in this environment, such as …

With the rapid development of Internet of Vehicle technology, vehicular edge computing is
gradually becoming a key technology for task offloading and resource scheduling. However …