期刊
IEEE NETWORK
卷 33, 期 2, 页码 36-43出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MNET.2019.1800222
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资金
- National Key Research and Development Plan [2018YFB1003803]
- National Natural Science Foundation of China [61722214, 61802450, 61872310]
- Guangdong Province Universities and Colleges Pearl River Scholar Funded Scheme (2016)
- Natural Science Foundation of Guangdong [2018A030313005]
- Program for Guangdong Introducing Innovative and Entrepreneurial Teams [2017ZT07X355]
- Shenzhen Basic Research Funding Scheme [JCYJ20170818103849343]
In this article, we propose a hybrid computing model, UAV-Edge-Cloud, bringing edge/cloud computing and UAV swarm together to achieve high quality of service (QoS) guarantees. First, we design this novel hybrid computing framework to provide powerful resources to support resource-intensive applications and real-time tasks at edge networks. Next, we discuss some potential applications for smart cities and raise open research issues of the proposed hybrid framework. We then study a joint task placement and routing problem for latency-critical applications as a case study. Finally, the simulation results show that our approach can improve the QoS of UAV swarms effectively.
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