Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
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The Development of Bluetooth Router Capable of Communication between Broadband Network and Slave Devices for Companion Animals

  • Received : 2018.08.30
  • Accepted : 2018.09.10
  • Published : 2018.09.28
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Abstract

Currently, many households raise their companion animals for personal reasons. In this environment, the companion animal is left alone in the home, the owner of the companion animal is increasingly curious about the behavior pattern of the companion animal left alone, and there are many devices that can solve this question. In this paper, we have designed and implemented a Bluetooth-based slave device (beacon in this paper) and a router capable of connecting to a broadband network that can observe behavior patterns of companion animals by using advanced ICT technology. The Bluetooth router designed and implemented in this paper installs a beacon in the home, receives the beacon signal from the device and the beacon installed by the companion animal, and transmits the moving line of the companion animal to the owner of the companion animal through the broadband network, so that it can be confirmed in real time through the app for the provided smart phone.

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References

  1. https://ko.wikipedia.org/
  2. Jun-Hyuk Lee, "Electronic Attendance System Using BLE Advertising Function of Smartphone", Journal of Fusion Research, Vol.8, no.1, pp. 7-12, January 2017.
  3. http://www.beaconsandwich.com
  4. https://estimote.com
  5. B. C. Jeon, G. S. Choi, J. J. Jang, "Implementation of Home Monitoring System Using a Vacuum Robot with Wireless Router", Journal of The Institute of Internet, Broadcasting and Communication, Vol.8 No.5, pp.73-80, May 2008.
  6. Deng Lin, Y. G. You, "High Performance 32-bit Embedded AES for Wireless Network Router Applications", Journal of the institute of electronics engineers of Korea, Vol.47 No.11, pp.97-104, November 2010.
  7. Song Chai, Renbo An and Zhengzhong DuAn, "Indoor Positioning Algorithm Using Bluetooth Low Energy RSSI", International Conference on Advanced Material Science and Environmental Engineering(AMSEE), Vol.1, pp.276-278, October 2016.
  8. Zhai, Di, and Zihuai Lin, "RSS-based indoor positioning with biased estimator and local geographical factor", Telecommunications(ICT), 2015 22 nd International Conference on. IEEE, April 2015.
  9. S. Y. Cho, "A Modified Residual-based Extended Kalman Filter to Improve the Performance of WiFi RSSI-based Indoor Positioning", Journal of Institute of Control, Robotics and Systems 21.7:684-690, July 2015. https://doi.org/10.5302/J.ICROS.2015.14.0093
  10. Lin, Xin-Yu, et al. "A mobile indoor positioning system based on iBeacon technology", Engineering in Medicine and Biology Society(EMBC), 37th Annual International Conference of the IEEE. IEEE, August 2015.
  11. J. Zhu, K. Zeng, K Kim, P. Mohapatra, "Improving crowd-sourced wi-fi localization systems using bluetooth beacons", Sensor, Mesh and Ad Hoc Communications and Networks, pp. 290-298, June 2012.
  12. M. Altini, D. Brunelli, E. Farella, and L. Benini, "Bluetooth indoor localization with multiple neural networks", 5th International Symposium on Wireless Pervasive Computing, pp. 295-300, June 2010.