物联网学报 ›› 2021, Vol. 5 ›› Issue (1): 1-10.doi: 10.11959/j.issn.2096-3750.2021.00210
• 专题:物联网边缘智能与雾计算 • 下一篇
王旭1, 陈南希1,2, 张柔佳1,3
修回日期:
2021-02-03
出版日期:
2021-03-30
发布日期:
2021-03-01
作者简介:
王旭(1986- ),男,博士,中国科学院上海微系统与信息技术研究所副研究员,主要研究方向为无线通信、深度学习等基金资助:
Xu WANG1, Nanxi CHEN1,2, Roujia ZHANG1,3
Revised:
2021-02-03
Online:
2021-03-30
Published:
2021-03-01
Supported by:
摘要:
边缘智能已成为新一代物联网的发展趋势。边缘计算设备地理分布广,设备种类多,服务多样化,时延敏感,终端具备移动性。因此,边缘系统需要提供灵活多样的、可重构可扩充的服务。通过将自适应思想融入边缘计算,首先探索了智能自适应边缘系统应用需求,分析并总结了现有自适应边缘系统基础框架,并将深度学习、强化学习等人工智能技术应用于自适应边缘系统。然后,介绍了如何在特定的应用领域设计专门的智能算法。最后,探讨了该领域的发展潜力以及未来面临的挑战。
中图分类号:
王旭, 陈南希, 张柔佳. 智能自适应边缘系统:探索与挑战[J]. 物联网学报, 2021, 5(1): 1-10.
Xu WANG, Nanxi CHEN, Roujia ZHANG. Intelligent adaptive edge systems:exploration and open issues[J]. Chinese Journal on Internet of Things, 2021, 5(1): 1-10.
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