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 …

Due to their characteristics of mobility, flexibility and adaptive altitude, unmanned aerial
vehicles (UAVs), also known as drones, have immense potential applications in wireless …

Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive
and delay-sensitive tasks in fifth generation (5G) networks and beyond. However, its …

Offloading computation tasks through cloud–edge collaboration has been a promising way
to improve the Quality of Service (QoS) of applications. Usually, cloud server (CS) and edge …

The emergence of delay-sensitive and computationally-intensive mobile applications and
services pose a significant challenge for Unmanned Aerial Vehicles (UAVs) devices due to …

Unmanned aerial vehicle (UAV)-assisted multi-access edge computing (MEC) has become
one promising solution for energy-constrained devices to run the applications with high …

In recent years, the number of embedded computing devices connected to the Internet has
exponentially increased. At the same time, new applications are becoming more complex …

Abstract Today, Mobile Cloud Computing (MCC) alone can no longer respond to the
increasing volume of data and satisfy the necessary delays in real-time applications. In …

Driven by the visions of Internet of Things (IoT), there is an ever-increasing demand for
computation resources of IoT users to support diverse applications. Mobile edge computing …

Recent years, unmanned aerial vehicles (UAVs) have attracted much attention for providing
intermediate relay to ground mobile user equipments (UEs) for their flexible mobility. UEs …