Crowd V-IoE: Visual Internet of Everything Architecture in AI-Driven Fog Computing
文献类型：期刊论文
| 作者 | Ji, Wen1,2; Liang, Bing2,3; Wang, Yuqin2,3; Qiu, Rui2,3; Yang, Zheming2,3 |
| 刊名 | IEEE WIRELESS COMMUNICATIONS
 |
| 出版日期 | 2020-04-01 |
| 卷号 | 27期号:2页码:51-57 |
| ISSN号 | 1536-1284 |
| DOI | 10.1109/MWC.001.1900349 |
| 英文摘要 | Fog computing has emerged as a unifying platform to provide computing, communication, and storage for a variety of mobile applications. That helps achieve high bandwidth, high intelligence, low latency, and low energy consumption in handling massive networking devices and emerging rich multimedia services in 5G networks. Current prominence and future promises are changing from the Internet of Things (IoT) to the Internet of Everything (IoE), which is a union of people, process, data, and things. However, the development of fog radio access networks (F-RANs) is challenged by the diversity of IoE, ultra-high-definition videos on demand from users, and low-latency requirement of heterogeneous IoT devices. In this article, we present an architecture of visual IoE (V-IoE) in F-RANs. We systemically analyze the key challenges of V-IoE from the perspective of F-RANs, and propose a crowd V-IoE architecture. Through experimental results, we demonstrate that our proposed architecture exhibits better performance with lower bandwidth requirement, lower energy consumption, and lower latency in F-RANs. Finally, we conclude with a discussion of potential directions. |
| WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
| 语种 | 英语 |
| WOS记录号 | WOS:000532257900007 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/15364]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Ji, Wen |
| 作者单位 | 1.Peng Cheng Lab, Shenzhen, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China 3.Univ Chinese Acad Sci, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ji, Wen,Liang, Bing,Wang, Yuqin,et al. Crowd V-IoE: Visual Internet of Everything Architecture in AI-Driven Fog Computing[J]. IEEE WIRELESS COMMUNICATIONS,2020,27(2):51-57. |
| APA | Ji, Wen,Liang, Bing,Wang, Yuqin,Qiu, Rui,&Yang, Zheming.(2020).Crowd V-IoE: Visual Internet of Everything Architecture in AI-Driven Fog Computing.IEEE WIRELESS COMMUNICATIONS,27(2),51-57. |
| MLA | Ji, Wen,et al."Crowd V-IoE: Visual Internet of Everything Architecture in AI-Driven Fog Computing".IEEE WIRELESS COMMUNICATIONS 27.2(2020):51-57. |
入库方式： OAI收割
来源：计算技术研究所
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