云计算
计算机科学
边缘计算
GSM演进的增强数据速率
分布式计算
建筑
卫星
物联网
计算机网络
嵌入式系统
操作系统
电信
工程类
艺术
航空航天工程
视觉艺术
作者
Chengcheng Li,Yasheng Zhang,Renchao Xie,Xuekun Hao,Tao Huang
出处
期刊:IEEE Access
[Institute of Electrical and Electronics Engineers]
日期:2021-01-01
卷期号:9: 39126-39137
被引量:46
标识
DOI:10.1109/access.2021.3064397
摘要
Low Earth Orbit (LEO) satellite network is a cost-efficient way to achieve global covering for wide-area Internet of Things (IoT). As more and more IoT applications require large amounts of computing resources, cloud computing paradigm becomes one of the IoT’s main enablers. Abundant resources can be used to execute computation-intensive IoT applications in the cloud. Moreover, edge computing has emerged to alleviate the high latency and low bandwidth problem of cloud computing. The integration of edge computing into LEO networks (which is called LEC in this paper) can improve satellite IoT network’s performance. In addition, it is an effective way to support delay-sensitive and resource-hungry wide-area IoT applications. However, there are many technical challenges for LEC, which is different from edge computing in terrestrial networks. Therefore, we study LEC in depth and a novel system architecture is proposed. A LEC prototype system is implemented which verifies our design. The simulation result demonstrates that LEC can improve system performance compared with cloud computing in LEO networks.
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