期刊
IEEE INTERNET OF THINGS JOURNAL
卷 7, 期 10, 页码 10200-10232出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2020.2987070
关键词
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
资金
- Institute of Information and Communications Technology Planning and Evaluation (IITP) - Korea Government [Ministry of Science and ICT (MSIT)] [2019-0-01287]
- MSIT, South Korea [IITP-2020-2015-0-00742]
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.
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