This article studies the trajectory control and task offloading (TCTO) problem in an
unmanned aerial vehicle (UAV)-assisted mobile edge computing system, where a UAV flies …

Edge computing facilitates low-latency services at the network's edge by distributing
computation, communication, and storage resources within the geographic proximity of …

Mobile cloud computing (MCC) brings rich computational resources to mobile users,
network operators, and cloud computing providers. The battery capacity of mobile devices …

Existing joint trajectory planning and task offloading (JTPTO) methods provide ultralow
latency services for mobile devices (MDs) in unmanned aerial vehicle (UAV)-assisted …

We investigate the joint trajectory control and task offloading (JTCTO) problem in
multiunmanned aerial vehicle (UAV)-enabled mobile edge computing (MEC). However …

In the advanced 5G and beyond networks, multi-access edge computing (MEC) is
increasingly recognized as a promising technology, offering the dual advantages of …

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 …

As the demand for the internet of things (IoT) continues to grow, there is an increasing need
for low-latency networks. Mobile edge computing (MEC) provides a solution to reduce …

With the increasing popularity of mobile devices and explosive growth of task processing
requirements, edge computing attracts more attention from researchers nowadays since it …

Abstract Internet of Things (IoT) devices can reduce their energy consumption by
computation offloading. However, IoT devices located in areas without deployed ground …