To provide a dependency-aware application, multiple unmanned aerial vehicles (UAVs) are
employed to serve a ground user with a set of interdependent tasks. This leads to a new …

Recent developments in unmanned aerial vehicles (UAVs) and mobile edge computing
(MEC) have provided users with flexible and resilient computing services. However, meeting …

With the development of the Internet of Things (IoT), IoT devices are increasingly being
deployed in scenarios with large footprints, remote locations, and complex geographic …

Many efforts have been devoted to efficient task scheduling in Multi-Unmanned Aerial
Vehicle (UAV) edge computing. However, the heterogeneity of UAV computation resource …

Unmanned aerial vehicles (UAVs) have been introduced into wireless communication
systems to provide high-quality services and enhanced coverage due to their high mobility …

Due to the characteristic of wide coverage, flexible deployment, and low cost, unmanned
aerial vehicles (UAVs) have been employed to provide mobile crowdsensing and edge …

Mobile edge computing (MEC) has emerged as a solution to address the demands of
computation-intensive network services by providing computational capabilities at the …

An unmanned aerial vehicle (UAV) is employed to sequentially visit the specific waypoints
and provide offloading services for nearby devices. Most of the current works optimized the …

The paper considers a more challenging task offloading scenario in hybrid UAV-assisted
mobile edge computing (MEC) systems, where multiple dual-function UAVs tour in the sky to …

In the realm of multi-UAV-assisted mobile edge computing (MEC), the joint optimization of
UAV deployment and task scheduling has emerged as a potent approach for mitigating …