Development of IEEE 802.15.4e Based Industrial Wireless Sensor Network System for Intelligent Plant Construction 


Vol. 43,  No. 2, pp. 319-326, Feb.  2018
10.7840/kics.2018.43.2.319


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  Abstract

As the Internet of matter and the 4th industrial revolution are receiving great attention, the need for an intelligent plant system is emerging. The industrial network carries the control signal and the sensor data of facilities, and the reliability of the network directly affects the productivity and stability of the facilities. Industrial wireless network technology has been attracting attention with convenience and flexibility, and IEEE 802.15.4e TSCH MAC, which provides high reliability and stability, is a promising technology. TSCH is a key technology for various smart factory applications by enabling reliable communication for the rotors and the moving workers, which is difficult to install the wire sensor. We developed a monitoring system based on an industrial wireless network based on IEEE 802.15.4e TSCH technology, and selected rubber mixing process of rubber belt manufacturer as a test bed. In this paper, we describe how industrial sensors are commonly connected to industrial networks and how new industrial wireless network systems can be linked to existing systems.

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  Cite this article

[IEEE Style]

Y. Ha, S. Chung, Y. Lee, "Development of IEEE 802.15.4e Based Industrial Wireless Sensor Network System for Intelligent Plant Construction," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 2, pp. 319-326, 2018. DOI: 10.7840/kics.2018.43.2.319.

[ACM Style]

Yuvin Ha, Sang-Hwa Chung, and Yun-Sung Lee. 2018. Development of IEEE 802.15.4e Based Industrial Wireless Sensor Network System for Intelligent Plant Construction. The Journal of Korean Institute of Communications and Information Sciences, 43, 2, (2018), 319-326. DOI: 10.7840/kics.2018.43.2.319.

[KICS Style]

Yuvin Ha, Sang-Hwa Chung, Yun-Sung Lee, "Development of IEEE 802.15.4e Based Industrial Wireless Sensor Network System for Intelligent Plant Construction," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 2, pp. 319-326, 2. 2018. (https://doi.org/10.7840/kics.2018.43.2.319)

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pISSN : 1226 - 4717
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