4.8 Article

Embedded Intelligence: Platform Technologies, Device Analytics, and Smart City Applications

期刊

IEEE INTERNET OF THINGS JOURNAL
卷 8, 期 17, 页码 13165-13182

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2021.3088217

关键词

Smart cities; Internet of Things; Computer architecture; Sensors; Cloud computing; Intelligent sensors; Edge computing; Applications; big data; edge computing; embedded intelligence (EI); fog computing; Internet of Things (IoT); smart cities

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This article provides a comprehensive survey and review of embedded intelligence research in the field of smart cities, covering enabling technologies, applications, and challenges. The aim is to offer useful insights to researchers and inspire the development of practical EI solutions for smart cities.
This article provides a survey about the state of the art in embedded intelligence (EI) research for smart cities. Currently, a comprehensive survey for EI research for smart cities is not available. This article presents a comprehensive review and discusses representative studies of the emerging and current paradigms for EI with the focus on the enabling technologies, applications, and challenges for smart cities from four areas: 1) first, the overview and classifications of the EI research are presented to show the full spectrum in this area, which also serves as a concise summary of the scope of this article; 2) second, the review and identification of interrelated enabling technologies in the form of EI platform technologies, and EI and device analytics technologies are discussed; 3) third, the article discusses various applications of EI utilizing these technologies and techniques for smart cities; and 4) the article also includes the challenges and insights for future research directions. This comprehensive survey article aims to give useful insights for the research area and motivate researchers toward the development of useful EI solutions for practical deployment in smart cities.

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