Browse > Article
http://dx.doi.org/10.6109/jkiice.2020.24.4.546

Implementation of Intelligent Remote Control System based on Internet of Things  

Kim, Dong Min (Department of Internet of Things, Soonchunhyang University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.24, no.4, 2020 , pp. 546-552 More about this Journal
Abstract
The remote control system, in which the remote control server and the actuator are connected and operated through a wireless network, has a great potential risk as well as its convenience. The control commands can be lost because of unreliable wireless channels. The intelligent remote control system is a system that adds a function to infer a control command to the actuator to operate even if the control command is not received. In this paper, we implemented an intelligent remote control system testbed and confirmed the problems that could occur in the remote control system through experiments and verified that the intelligent remote control system solves the problem. The intelligent remote control system can achieve the performance that can be achieved when general remote control system has high communication overhead with less communication overhead.
Keywords
Internet of Things; Intelligent Remote Control System; Wireless Networks; Testbed;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 M. R. Alam, M. B. I. Reaz, and M. A. M. Ali, "A review of smart homes-Past, present, and future," IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), vol. 42, no. 6, pp. 1190-1203, Apr. 2012.   DOI
2 J. Pan, R. Jain, and S. Paul, "A survey of energy efficiency in buildings and microgrids using networking technologies," IEEE Communications Surveys & Tutorials, vol. 16, no. 3, pp. 1709-1731, Jun. 2014.   DOI
3 B. Holfeld, D. Wieruch, T. Wirth, L. Thiele, S. A. Ashraf, J. Huschke, I. Aktas, and J. Ansari, "Wireless communication for factory automation: An opportunity for LTE and 5G systems," IEEE Communications Magazine, vol. 54, no. 6, pp. 36-43, Jun. 2016.   DOI
4 K. Lee, Y. Shin, Y. Lee, and S. Seol, "A study on user interface and control method of web-based remote control platform," Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, vol. 7, no. 6, pp. 827-837, Jun. 2017.   DOI
5 K. Cho, M. Jeon, and C. Oh, "Development of equipment control system based on DB access method for industrial IoT," Journal of the Korea Institute of Information and Communication Engineering, vol. 20, no. 6, pp. 1142-1147, Jun. 2016.   DOI
6 M. A. Lema, A. Laya, T. Mahmoodi, M. Cuevas, J. Sachs, J. Markendahl, and M. Dohler, "Business case and technology analysis for 5G low latency applications," IEEE Access, vol. 5, pp. 5917-5935, Apr. 2017.   DOI
7 A. Seuret, L. Hetel, J. Daafouz, and K. H. Johansson, Delays and Networked Control Systems, Springer, 2014.
8 D. Jang, C. Y. Son, J. Yoo, H. J. Kim, and K. H. Johansson, "Efficient neworked UAV control using event-triggered predictive control," in Proceeding of the 8th IFAC Symposium on Mechatronic Systems MECHATRONICS 2019, Vienna, Austria, 2019.
9 H. Li, K. Ota, and M. Dong, "Learning IoT in edge: deep learning for the Internet of Things with edge computing," IEEE Network, vol. 32, no. 1, pp. 96-101, Jan. 2018.   DOI
10 G. Premsankar, M. D. Francesco, and T. Taleb, "Edge computing for the Internet of Things: a case study," IEEE Internet of Things Journal, vol. 6, no. 2, pp. 1276-1284, Apr. 2018.
11 I. Goodfellow, Y. Bengio and A. Courville, Deep Learning, MIT Press, 2016.
12 J.-B. Kim, D.-H. Kwon, Y.-G. Hong, H.-K. Lim, M.-S. Kim, and Y.-H. Han, "Deep Q-network based rotary inverted pendulum system and its monitoring on the EdgeX platform," in Proceeding of the 1st International Conference on Artificial Intelligence in Information and Communication, Okinawa, Japan, 2019.
13 WebIOPi [Internet]. Available: https://webiopi.trouch.com/.