Unmanned aerial vehicles (UAVs) are increasingly deployed to provide wireless
connectivity to static and mobile ground users in situations of increased network demand or …

The rapid advancement of mobile edge computing (MEC) networks has enabled the
augmentation of the computational power of mobile devices (MDs) by offloading …

Mobile Edge Computing (MEC) broadens the scope of computation and storage beyond the
central network, incorporating edge nodes close to end devices. This expansion facilitates …

Edge servers, which are located in close proximity to mobile users, have become key
components for providing augmented computation and bandwidth. As the resources of edge …

Offloading tasks from edge devices to the cloud is an important method to enhance the
performance of the edge device. With the help of EH (Energy Harvesting) technology, the …

The mobile device has been widely used in many areas. Task offloading is always used to
overcome the limitation of processing ability and energy-supply of the mobile devices in the …

Developing an effective task offloading strategy has been a focus of research to improve the
task processing speed of IoT devices in recent years. Some of the reinforcement learning …

In the distributed task offloading system, the desired task completion time cannot be
achieved when lots of mobile devices offload simultaneously the tasks with high complexity …

Datacenter networks (DCNs) with cloud–edge collaboration are emerging to satisfy the
communication, computation, and caching (3C) requirements of future services such as …

Edge computing is a distributed computing paradigm that brings computation and data
storage closer to the data sources. Hence the existing edge computing technique …