DOI QR코드

DOI QR Code

다층 건물을 위한 Wi-Fi 기반의 저 복잡도 층간 위치 측위 기법

Wi-Fi-Based Low-Complexity Floor Number Determination Method Based for Multistory Buildings

  • 석건 (숭실대학교 정보통신공학부) ;
  • 리향 (숭실대학교 정보통신공학부) ;
  • 정홍규 (숭실대학교 정보통신공학부) ;
  • 김진오 (숭실대학교 기계공학과) ;
  • 신요안 (숭실대학교 정보통신공학부)
  • Shi, Jian (School of Electronic Engineering, Soongsil Univ.) ;
  • Li, Xiang (School of Electronic Engineering, Soongsil Univ.) ;
  • Jung, Honggyu (School of Electronic Engineering, Soongsil Univ.) ;
  • Kim, Jinoh (Dept. of Mechanical Engineering, Soongsil Univ.) ;
  • Shin, Yoan (School of Electronic Engineering, Soongsil Univ.)
  • 투고 : 2013.09.03
  • 심사 : 2013.11.27
  • 발행 : 2014.02.01

초록

최근 들어, 다층 건물 내 층간 위치 측위(Floor Determination)는 다양한 위치 기반 응용 서비스를 만족하기 위해 빠르게 해결해야 되는 문제가 되었다. 본 논문에서는 다층 건물 환경에서 Wi-Fi 신호를 기반으로 한 저복잡도 층간 위치 측위 기법을 제안한다. 제안 기법에서는 WAP(Wireless Access Point)에 대한 자세한 좌표 정보가 필요 없이, 사용자 단말기에 나온 각 WAP의 층수와 각 WAP의 수신 신호 세기(Received Signal Strength) 값만을 이용한다. 제안 기법의 성능을 검증하기 위해 본 논문에서는 Multi-Wall-Floor 모델을 사용하였으며, 모의실험 결과를 통해 각층의 WAP 배치 밀도가 충분히 높을 경우 제안 기법의 정확도가 100%에 도달함을 보였다. 그리고 각층의 WAP 수가 적은 경우에서도 우수한 층간 위치 측위 성능을 보였으며, 특히 심지어 WAP 가 하나도 없는 층이 있어도 층간 위치 측위가 가능한 것을 보임으로써 제안된 기법의 우수성을 확인하였다.

Floor number determination has attracted considerable attention because many applications require accurate floor number information for providing better localization services in multistory buildings. This paper describes a Wi-Fi-based, low-complexity floor number determination method for multistory buildings. In our scheme, with the exception of floor ID and received signal strength of each WAP, detailed information on the wireless access point (WAP) coordinates is not needed. The multi-wall-floor model is used for the simulation and analysis. The simulation results show that the floor determination accuracy is nearly 100 given an adequate deployment density of WAPs on each floor. The results also show that the proposed method provides a good estimate of floor number even when only a few WAPs are implemented on each floor. Specifically, the proposed method can work under extreme conditions, i.e., where there are no WAPs on a floor.

키워드

참고문헌

  1. Perry, T. S., 2012, "Navigating the great indoors," IEEE Spectrum, vol. 49, no. 11, pp. 15. https://doi.org/10.1109/MSPEC.2012.6281117
  2. Alsehly, F., Arslan, T., Sevak, Z. and King, M., 2011, "Indoor Positioning with Floor Determination in Multi Story Building," Proc. IPIN 2011, Guimaraes, Portugal, pp. 1-7.
  3. Liu, H. H. and Yang, Y. N., 2011, "Wi-Fi-Based Indoor Positioning for Multi-Floor Environment," Proc. IEEE TENCON 2011, Bali, Indonesia, pp. 597-601.
  4. Al-Ahmadi, A. S., Omer, A. I., Kamarudin, M. R. and Rahman, T. A., 2010, "Multi-Floor Indoor Positioning System Using Bayesian Graphical Models," Progress in Electromag. Research B, vol. 25, pp. 241-259. https://doi.org/10.2528/PIERB10081202
  5. Wang, H. Y., Zheng, V. W., Zhao, J. H. and Yang, Q., 2010, "Indoor Localization in Multi-Floor Environments with Reduced Effort," Proc. IEEE PerCom 2010, Mannheim, Germany, pp. 244-252.
  6. Gansemer, S., Gropmann, U., and Hakobyan, S., 2010, "RSSI-based Euclidean Distance Algorithm for Indoor Positioning Adapted for the Use in Dynamically Changing WLAN Environment and Multi-Level Building," Proc. IPIN 2010, Zurich, Switzerland, pp. 1-6.
  7. Lott, M. and Forkel, I., 2001, "A Multi-Wall-and- Floor Model for Indoor Radio Propagation," Proc. IEEE VTC 2001-Spring, Rhodes, Greece, pp. 464-468.
  8. Chrysikos, T., Georgopoulos, G. and Kotsopoulos, S., 2011, "Wireless Channel Characterization for a Home Indoor Propagation Topology at 2.4 GHz," Proc. WTS 2011, New York City, USA, pp. 1-10.
  9. Chrysikos, T., Georgopoulos, G. and Kotsopoulos, S., 2010, "Impact of Shadowing on Wireless Channel Characterization for Public Indoor Commercial Topology at 2.4GHz," Proc. ICUMT 2010, Moscow, Russia, pp. 281-286.
  10. Koo, J. and Cha, H., 2011, "Localizing WiFi Access Points Using Signal Strength," IEEE Commun. Lett., vol. 15, no. 2, pp. 187-189. https://doi.org/10.1109/LCOMM.2011.121410.101379
  11. Lima, A. and Menezes, L., 2005, "Motley-Keenan Model Adjusted to the Thickness of the Wall," Proc. SBMO/IEEE MTT-S MOC 2005, Brasilia, Brazil, pp. 180-182.
  12. Brida, P., Benikovsky, J. and Machaj, J., 2011, "Performance Investigation of Wi-Fi LOC Positioning System," Proc. TSP 2011, Budapest, Hungary, pp. 203-207.
  13. Benikovsky, J., Brida, P. and Machaj, J., 2012, "Proposal of User Adaptive Modular Localization System for Ubiquitous Positioning," Proc. ACIIDS 2012, Kaohsiung, Taiwan, pp. 391-400.
  14. Brinkley, M., 2010, "Floor Structure Guide," Homebuilding & Renovating.