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

With rapid development of unmanned aerial vehicle (UAV) technology,application of the UAVs for task offloading has received increasing interest inthe academia. However, real-time interaction between one UAV and the mobileedge computing (MEC) node is required for processing the tasks of mobile endusers, which significantly increases the system overhead and is unable to meetthe demands of large-scale artificial intelligence (AI) based applications. Totackle this problem, in this article, we propose a new architecture for UAVclustering to enable efficient multi-modal multi-task task offloading. By theproposed architecture, the computing, caching and communication resources arecollaboratively optimized using AI based decision-making. This not onlyincreases the efficiency of UAV clusters, but also provides insight into thefusion of computation and communication.

Ready Player One: UAV Clustering based Multi-Task Offloading for Vehicular VR/AR Gaming