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구분 SCI
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학술지 Exploring the Dynamic Knowledge Structure of Studies on the Internet of Things: Keyword Analysis
Cited 18 time in scopus Download 189 time Share share facebook twitter linkedin kakaostory
윤영석, 조항정, 최문기, 이동현, 이현우
ETRI Journal, v.40 no.6, pp.745-758
한국전자통신연구원 (ETRI)
17HR4400, 고신뢰 사물지능 생태계 창출을 위한 TII(Trusted Information Infrastructure) S/W 프레임워크 개발, 이현우
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.
KSP 제안 키워드
Bibliographic data, Big Data, Co-occurrence, Context aware, Current status, Dynamic knowledge, Efficient resource allocation, Emerging technology, Growth rate, IOT applications, IOT technologies
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