IoT Data Collection Platform Based on Selective Protocols 


Vol. 42,  No. 4, pp. 871-878, Apr.  2017


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  Abstract

As the interest of things to the Internet increases, the market of IoT grows larger and devices and protocols related with IoT are evolving. As these IoT devices and protocols evolve, There was a problem with interoperability. As a result, market and standard of IoT are confused, and communication between objects and objects is being hindered by different platforms. Currently, various IoT platforms are being developed and interoperability with heterogeneous platforms is under study, but the protocols used on each platform are limited and designed to have no generalized structure. Therefore, in this paper, we analyze services of HTTP, CoAP, and MQTT protocols, which are typical in the Internet market, and design services that enable selective protocol communication. We also design resources that apply the RESTful API to generalize platform usage. and We implemented the platform through database modeling for quick processing and safety of the collected data. Through this process, devices communicating with different protocols can be interworked on one platform and We propose a “generalized selective protocol based Internet object data collecting platform” that can be applied to various protocols.

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  Cite this article

[IEEE Style]

H. Oh, D. Kim, H. Jeon, H. Park, "IoT Data Collection Platform Based on Selective Protocols," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 4, pp. 871-878, 2017. DOI: .

[ACM Style]

Hyeong-Seok Oh, Dong-Hwi Kim, Hyun-Sig Jeon, and Hyun-Ju Park. 2017. IoT Data Collection Platform Based on Selective Protocols. The Journal of Korean Institute of Communications and Information Sciences, 42, 4, (2017), 871-878. DOI: .

[KICS Style]

Hyeong-Seok Oh, Dong-Hwi Kim, Hyun-Sig Jeon, Hyun-Ju Park, "IoT Data Collection Platform Based on Selective Protocols," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 4, pp. 871-878, 4. 2017.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880