English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In Unmanned Aerial Vehicle (UAV)-enabled mobile edge computing (MEC) systems,UAVs can carry edge servers to help ground user equipment (UEs) offloadingtheir computing tasks to the UAVs for execution. This paper aims to minimizethe total time required for the UAVs to complete the offloaded tasks, whileoptimizing the three-dimensional (3D) deployment of UAVs, including theirflying height and horizontal positions. Although the formulated optimization isa mixed integer nonlinear programmming, we convert it to a convex problem anddevelop a successive convex approximation (SCA) based algorithm to effectivelysolve it. The simulation results show that the joint optimization of thehorizontal and the vertical position of a group of UAVs can achieve betterperformance than the traditional algorithms.

Optimizing Multi-UAV Deployment in 3D Space to Minimize Task Completion Time in UAV-Enabled Mobile Edge Computing Systems