Reference : Ready Player One: UAV Clustering based Multi-Task Offloading for Vehicular VR/AR Gaming
Scientific journals : Article
Engineering, computing & technology : Electrical & electronics engineering
Security, Reliability and Trust
http://hdl.handle.net/10993/39515
Ready Player One: UAV Clustering based Multi-Task Offloading for Vehicular VR/AR Gaming
English
Hu, Long []
Tian, Yuanwen []
Yang, Jun []
Taleb, Tarik []
Xiang, Lin mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Hao, Yixue []
May-2019
IEEE Network
Institute of Electrical and Electronics Engineers
Yes (verified by ORBilu)
0890-8044
1558-156X
New York
NY
[en] Unmanned aerial vehicle (UAV) ; Computing, caching, and communication (3C) ; Artificial Intelligence (AI)
[en] With rapid development of unmanned aerial vehicle (UAV) technology, application of UAVs for task offloading has received increasing interest in academia. However, real-time interaction between one UAV and the mobile edge computing node is required for processing the tasks of mobile end users, which significantly increases the system overhead and is unable to meet the demands of large-scale artificial intelligence (AI)-based applications. To tackle this problem, in this article, we propose a new architecture for UAV clustering to enable efficient multi-modal multi-task offloading. With the proposed architecture, the computing, caching, and communication resources are collaboratively optimized using AI-based decision making. This not only increases the efficiency of UAV clusters, but also provides insight into the fusion of computation and communication.
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SIGCOM
European Research Council (ERC)
AGNOSTIC
http://hdl.handle.net/10993/39515

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