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Technology analysis for internet of things using big data learning
, Ellappan V, Ajay
Published in IOP Publishing
2017
Volume: 263
   
Abstract

The internet of things (IoT) is an internet among things through advanced communication protocols without human’s operation. The main idea of IoT is to reach and improve the common goal by their intelligent networking. The IoT is an integrated technology of several sub technologies, such as wireless sensor or semantic. The technology of IoT has been evolved according to the environment based on information communication technology and social infrastructure. So we need to know the technological evolution of IoT in the future. In this paper, we analyze the IoT technology to find its technological relationship. We use patents and papers related to the IoT, and consider big data learning as tool for the IoT technology analysis. To verify the performance of our proposed methodology, we perform and show our case study using collected the patent and paper documents.

About the journal
JournalData powered by TypesetIOP Conference Series: Materials Science and Engineering
PublisherData powered by TypesetIOP Publishing
ISSN1757-8981
Open AccessYes