DOI QR코드

DOI QR Code

무선 센서네트워크 기반 신호강도 맵을 이용한 재택형 위치인식 및 사용자 식별 시스템

Position Recognition and User Identification System Using Signal Strength Map in Home Healthcare Based on Wireless Sensor Networks (WSNs)

  • 양용주 (한국생산기술연구원 로봇기술본부 제어인식팀) ;
  • 이정훈 (연세대학교 대학원 의공학과) ;
  • 송상하 (연세대학교 대학원 의공학과) ;
  • 윤영로 (연세대학교 대학원 의공학과)
  • Yang, Yong-Ju (Control & Perception Research Team, Division for Applied Robot Technology, Korea Institute of Industrial Technology(KITECH)) ;
  • Lee, Jung-Hoon (Department of Biomedical Engineering, Graduate School of Yonsei University) ;
  • Song, Sang-Ha (Department of Biomedical Engineering, Graduate School of Yonsei University) ;
  • Yoon, Young-Ro (Department of Biomedical Engineering, Graduate School of Yonsei University)
  • 발행 : 2007.08.30

초록

Ubiquitous location based services (u-LBS) will be interested to an important services. They can easily recognize object position at anytime, anywhere. At present, many researchers are making a study of the position recognition and tracking. This paper consists of postion recognition and user identification system. The position recognition is based on location under services (LBS) using a signal strength map, a database is previously made use of empirical measured received signal strength indicator (RSSI). The user identification system automatically controls instruments which is located in home. Moreover users are able to measures body signal freely. We implemented the multi-hop routing method using the Star-Mesh networks. Also, we use the sensor devices which are satisfied with the IEEE 802.15.4 specification. The used devices are the Nano-24 modules in Octacomm Co. Ltd. A RSSI is very important factor in position recognition analysis. It makes use of the way that decides position recognition and user identification in narrow indoor space. In experiments, we can analyze properties of the RSSI, draw the parameter about position recognition. The experimental result is that RSSI value is attenuated according to increasing distances. It also derives property of the radio frequency (RF) signal. Moreover, we express the monitoring program using the Microsoft C#. Finally, the proposed methods are expected to protect a sudden death and an accident in home.

키워드

참고문헌

  1. J.H. Park, M.G. Kim, J.H. Baek, 'Analysis of the industrial structure in location based services(LBS) and the strategy of the market development' KICS, vol. 20, No.4, 2005
  2. S.Y. Nam, H.B. Song, Wireless Sensor Network application using MOTE-KIT, Sang Hak Dang, 2005, pp. 24-56
  3. Want R., Hopper A., Falco V., J.Gibbons, 'The Active Badge Location System,' ACM Transactions on Information Systems, 1992, pp.91-102
  4. http://www.Octacomm.net
  5. S.H. Lee, T.C. Jung, 'The technology of the wireless sensor networks(WSNs)', Kyeong-Hui university, 2005, pp.8-15
  6. Han-Sik Jang, Sang-Do Lee, Jae-Seong Lim, Ho-Jin Choi, Sangdon Park 'Implementation of Location Information Technologies Using Zigbee and Application Services,' TELECOMMUNICATIONS REVIEW in SK Telecom, vol. 16-2, pp.203-225, 2006
  7. IEEE Standard, IEEE 802.15.4:Wireless Medium Access Control (MAC) and Low Rate Wireless Personal Area Networks (LR-WPANs), 2003, pp. 34-56
  8. Chipcon, 'CC2420 Data Sheet',2005, http://www.chipcon.com
  9. Frank, Gross, Smart Antenna for Wireless Communications, McGraw-Hill, 2005, pp.34-56
  10. O.S. Park, K.R. Jung, H.S. Kim, 'Position recognition technology and system for ubiquitous computing,' A weekly technology trend in ETRJ, vol. 1098, 2003
  11. Jagoba Arias, Aitzol Zuloaga, Jesus Lazaro, Jon Andreu and Armando Astarloa, 'Malguki: an RSSI based on ad hoc algorithm,' Microprocessors and Microsystems, vol.28, pp. 403-409, 2004 https://doi.org/10.1016/j.micpro.2004.03.001