.png){kind=icon}
返回
Aerial Computing: A New Computing Paradigm, Applications, and Challenges
.png){kind=icon}
PRE
AI
DOI：10.1109/JIOT.2022.3160691.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In existing computing systems, such as edge computing and cloud computing, several emerging applications and practical scenarios are mostly unavailable or only partially implemented. To overcome the limitations that restrict such applications, the development of a comprehensive computing paradigm has garnered attention in both academia and industry. However, a gap exists in the literature, owing to the scarce research, and a comprehensive computing paradigm is yet to be systematically designed and reviewed. This study introduces a novel concept, called aerial computing, via the amalgamation of aerial radio access networks and edge computing, which attempts to bridge the gap. Specifically, first, we propose a novel comprehensive computing architecture that is composed of low-altitude computing (LAC), high-altitude computing (HAC), and satellite computing platforms, along with conventional computing systems. We determine that aerial computing offers several desirable attributes: global computing service, better mobility, higher scalability and availability, and simultaneity. Second, we comprehensively discuss key technologies that facilitate aerial computing, including energy refilling, edge computing, network softwarization, frequency spectrum, multiaccess techniques, artificial intelligence, and big data. In addition, we discuss vertical domain applications (e.g., smart cities, smart vehicles, smart factories, and smart grids) supported by aerial computing. Finally, we highlight several challenges that need to be addressed and their possible solutions.
Keyword:
6G mobile communication
Artificial intelligence
Internet of Things
Edge computing
Computer architecture
Satellite broadcasting
Autonomous aerial vehicles
Aerial access networks (AANs)
aerial computing
edge computing
enabling technologies
sixth generation (6G)
vertical applications
期刊
IF:
8.9
论文数:
1.4W
被引数:
7.8W
机构
引用论文
Hybrid Solar Forecasting Method Using Satellite Visible Images and Modified Convolutional Neural Networks基于卫星可见光图像和改进卷积神经网络的混合太阳预报方法
PREAI
分享收藏A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art.png)
IEEE ACCESS
OAAI
IEEE ACCESSIF3.6
OAAI分享收藏Resource Allocation and 3-D Placement for UAV-Enabled Energy-Efficient IoT Communications支持无人机的高能效物联网通信的资源分配和3-D放置
PREAI
分享收藏Integrated Blockchain and Edge Computing Systems: A Survey, Some Research Issues and Challenges集成区块链和边缘计算系统: 调查，一些研究问题和挑战
PREAI
分享收藏
查看更多内容