Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
권호 표지
DOI QR코드

DOI QR Code

Performance Evaluation of RSSI-based Trilateration Localization Methods

RSSI기반에서 다양한 삼변측량 위치인식 기법들의 성능평가

  • 김선관 (부산대학교 컴퓨터공학과) ;
  • 김태훈 (부산대학교 컴퓨터공학과) ;
  • 탁성우 (부산대학교 컴퓨터공학과)
  • Received : 2011.10.28
  • Accepted : 2011.10.28
  • Published : 2011.11.30
Download PDF
⟨ Previous Next ⟩

Abstract

Currently, the importance of location-based services and location awareness has been grown due to the advancement of wireless communication technologies. Among several localization techniques, the trilateration localization is one of major localization techniques. However, distance estimation errors caused by obstacles and indoor environment changes lead to inaccurate localization. Although there are existing trilateration localization methods, they have focused on addressing a few problems of trilateration location approaches without detailed analysis. This paper analyzes existing trilateration location methods and evaluate their performance.

현재 무선 통신기술의 발전으로 위치기반 서비스 및 위치 인식의 중요성이 증가하는 추세이다. 여러 위치 인식 기법 중에서 삼변측량 기법이 대표적이다. 그러나 삼변측량 기법에서는 장애물이나 실내 주변 환경의 변화로 인하여 거리 오차가 발생하면 정확한 위치 인식을 할 수 없다. 위치 인식을 향상시키는 기존 삼변 측량 인식 기법에 대한 연구가 많이 있었지만, 삼변측량 위치인식 기법에 대한 체계적인 분석을 하지 않았다. 본 논문에서는 기존의 삼변측량 위치인식 기법들을 분석하고, 거리오차로 인해 위치 인식의 오차를 줄이는 기법들을 평가하였다.

Keywords

References

  1. P. Bahl and V.N. Padmanabhan, "RADAR: an In building RF based user location and tracking system," IEEE INFOCOM 2000, pp. 775-784, March 2000.
  2. A. Boukerche, H.A.B. Oliveira, E.F Nalamura, and A.A.F. Loureiro, "Localization system for wireless sensor networks," IEEE Wireless Communications, Vol 14, No. 6, pp. 6-12, December 2007.
  3. A.H. Sayed, A. Tarighat, and N. Khajehnouri, "Network-based wireless location: challenges faced in developing techniques for accurate wireless location information," IEEE Signal Processing Maqazine, Vol. 22, No. 4, pp. 24-40, July 2005. https://doi.org/10.1109/MSP.2005.1458275
  4. L. Zhu and J. Zhu, "A new model and its performance for TDOA estimation," Vehicular Technology Conference, pp. 2750-2753, October 2001.
  5. S. Hara, D. Zhao, K. Yanagihara, J. Taketsugu, K. Fukui, S. Fuknaga, and K. Kitayama, "Propagation characteristics of IEEE 802.15.4 radio signal and their application for location estimation," Vehicular Technology Conference, pp. 97-101, May 2005.
  6. D. Anzai and S. Hara, "An RSSI-based MAP localization method with channel parameters estimation in wireless sensor networks," Vehicular Technology Conference, pp. 26-29, April 2009.
  7. G. He, L. Li, and L. Lao, "A Localization Algorithm Based on Geographical Similarity of RSSI in Wireless Sensor Networks," Computer Network and Multimedia Technology, pp. 1-5, January 2009.
  8. V.P. Sadaphal and B. Jain, "Localization accuracy and threshold network density for tracking sensor network," International Conference on Personal Wireless Communications, pp. 408-412, January 2005.
  9. Y. Yu, G. Wang, Z. Li, and C. Li, "Alternating combination trilateration for unknown nodes of sensor networks," International Conference on Control and Automation, pp. 1747 - 1751, May 2007.

Cited by

  1. 칼만필터를 적용한 UWB 센서기반 제조업 조립공정작업의 실시간 위치추적 시스템 개발 vol.21, pp.2, 2011, https://doi.org/10.5762/kais.2020.21.2.627