Exploring the dynamic knowledge structure of studies on the Internet of things: Keyword analysis

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A wide range of studies in various disciplines has focused on the Internet of Things (IoT) and cyber-physical systems (CPS). However, it is necessary to summarize the current status and to establish future directions because each study has its own individual goals independent of the completion of all IoT applications. The absence of a comprehensive understanding of IoT and CPS has disrupted an efficient resource allocation. To assess changes in the knowledge structure and emerging technologies, this study explores the dynamic research trends in IoT by analyzing bibliographic data. We retrieved 54,237 keywords in 12,600 IoT studies from the Scopus database, and conducted keyword frequency, co-occurrence, and growth-rate analyses. The analysis results reveal how IoT technologies have been developed and how they are connected to each other. We also show that such technologies have diverged and converged simultaneously, and that the emerging keywords of trust, smart home, cloud, authentication, context-aware, and big data have been extracted. We also unveil that the CPS is directly involved in network, security, management, cloud, big data, system, industry, architecture, and the Internet. © 2018 ETRI
Publisher
WILEY
Issue Date
2018-12
Language
English
Article Type
Article
Citation

ETRI JOURNAL, v.40, no.6, pp.745 - 758

ISSN
1225-6463
DOI
10.4218/etrij.2018-0059
URI
http://hdl.handle.net/10203/262829
Appears in Collection
MG-Journal Papers(저널논문)RIMS Journal Papers
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