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Edge-Computing-Enabled Smart Cities: A Comprehensive Survey

delete2020-10-01
delete244
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OA
AI
L
Latif U. Khan
I
Ibrar Yaqoob
N
Nguyen H. Tran
S
S. M. Ahsan Kazmi
T
Tri Nguyen Dang
C
Choong Seon Hong *
DOI:10.1109/JIOT.2020.2987070delete
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摘要

摘要

En 中文
Recent years have disclosed a remarkable proliferation of compute-intensive applications in smart cities. Such applications continuously generate enormous amounts of data which demand strict latency-aware computational processing capabilities. Although edge computing is an appealing technology to compensate for stringent latency-related issues, its deployment engenders new challenges. In this article, we highlight the role of edge computing in realizing the vision of smart cities. First, we analyze the evolution of edge computing paradigms. Subsequently, we critically review the state-of-the-art literature focusing on edge computing applications in smart cities. Later, we categorize and classify the literature by devising a comprehensive and meticulous taxonomy. Furthermore, we identify and discuss key requirements, and enumerate recently reported synergies of edge computing-enabled smart cities. Finally, several indispensable open challenges along with their causes and guidelines are discussed, serving as future research directions.
Keyword:
Edge computing
Smart cities
Cloud computing
Internet of Things
Autonomous automobiles
Accidents
Cloudlet
fog computing
Internet of Things (IoT)
micro data centers
mobile cloud computing (MCC)
mobile-edge computing
smart cities
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对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

IEEE Internet of Things Journal 封面图
IEEE Internet of Things Journal
IF:
8.9
论文数:
1.4W
被引数:
7.8W

机构

U
University of Sydney
学者数:
6.5W
论文数: 6.2W
被引数: 90
K
kyung hee university
学者数:
2.3W
论文数: 2.2W
被引数: 234
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