Browse > Article

Implementation and Empirical Evaluation of Indoor Localization in IEEE 802.15.4 Network  

Kim, Tae-Woon (광주과학기술원 정보통신공학과 무선통신 및 네트워킹 연구실)
Choi, Woo-Yeol (광주과학기술원 정보통신공학과 무선통신 및 네트워킹 연구실)
Lim, Hyuk (광주과학기술원 정보통신공학과 무선통신 및 네트워킹 연구실)
Abstract
Currently, geographical information is interpreted and adopted in a wide range of context, and used for meeting diverse demands, such as, battlefield, traffic management, or public safety. With such an explosive increase of location-based applications, a considerable amount of research on the localization technique has been carried out. Among them, RSS (Received Signal Strength)-based approach is used especially for the indoor localization due to intrinsic limitations of the indoor environment. In this paper, we perform theoretical and empirical studies on enhancing the accuracy of the RSS-based localization on the IEEE 802.15.4 network. To this end, we set up an indoor testbed and implement a localization system on it. In addition to the theoretical analysis of the localization algorithm that we used, an empirical analysis on the effect of the factors which affect the accuracy of a localization system is carried out. Finally, we suggest some critical guidelines that should be considered for building a highly accurate localization system.
Keywords
localization; IEEE 802.15.4; RSS (received signal strength);
Citations & Related Records
연도 인용수 순위
  • Reference
1 Hyuk Lim, Lu-Chuan Kung, Jennifer C. Hou, and Haiyun Luo, "Zero-configuration, robust indoor localization: Theory and experimentation," IEEE INFOCOM 2006, Barcelona, Spain, April 23-29, 2006.
2 IEEE Std 802.15.4-2006. Part 15.4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low-Rate Wireless Personal Area Networks (WPANs), 2006, pp,65.
3 N. B. Priyantha, A. K. Miu, H. Balakrishnan, and S. Teller, "The Cricket compass for context-aware mobile applications," in Proc. of ACM MOBICOM, 2001.
4 P. Bahl, V. N. Padmanabhan, and A. Balachandran, "Enhancements to the RADAR user location and tracking system," Microsoft Research, Tech. Rep. MSR-TR-2000-12, February 2000.
5 Texas Instrument. Web: http://www.ti.com
6 CrossBow Technology. Available at web: http://www.xbow.com
7 R. Want, A. Hopper, V. Falcao, and J. Gibbons, "The active badge location system," ACM Transactions on Information Systems, vol. 10, no. 1, pp. 91-102, January 1992.   DOI
8 D. Niculescu and B. Nath, "VOR base stations for indoor 802.11 positioning," in Proc. of ACM MOBICOM, 2004.
9 P. Tao, A. Rudys, A. M. Ladd, and D. S. Wallach, "Wireless LAN location-sensing for security applications," in Proc. of ACM Workshop on Wireless Security, 2003.
10 "Ubisense," http://www.ubisense.net/
11 Y. Gwon and R. Jain, "Error characteristics and calibration-free techniques for wireless LAN-based location estimation," in Proc. of ACM MobiWac, October 2004.
12 A. Harter, A. Hopper, P. Steggles, A. Ward, and P. Webster, "The anatomy of a context-aware application," in Proc. of ACM MOBICOM, 1999.
13 A. M. Ladd, K. E. Bekris, A. Rudys, G. Marceau, L. E. Kavraki, and D. S. Wallach, "Robotics-based location sensing using wireless ethernet," in Proc. of ACM MOBICOM, 2002.
14 M. Youssef and A. Agrawala, "Small-scale compensation for WLAN location determination systems," in Proc. of WCNC, 2003.
15 P. Bahl and V. N. Padmanabhan, "RADAR: An in-building rf-based user location and tracking system," in Proc. of IEEE INFOCOM, 2000.
16 Kannan Srinivasan and Philip Levis, "RSSI is Under Appreciated," Third Workshop on Embedded Networked Sensors (EmNets 2006), 2006.
17 N. B. Priyantha, A. Chakraborty, and H. Balakrishnan, "The Cricket location-support system," in Proc. of ACM MOBICOM, 2000.
18 "Pinpoint," http://www.pinpoint.com/
19 S. Ganu, A. S. Krishnakumar, and P. Krishnan, "Infrastructure-based location estimation in WLAN networks," in Proc. of WCNC, 2004.
20 P. Krishnan, A. Krishnakumar, W.-H. Ju, C. Mallows, and S. Ganu, "A system for LEASE: Location estimation assisted by stationary emitters for indoor RF wireless networks," in Proc. of IEEE INFOCOM, 2004.
21 T. Li, A. Ekpenyong, and Y.-F. Huang, "A location system using asynchronous distributed sensors," in Proc. of IEEE INFOCOM, 2004.
22 P. Castro, P. Chiu, T. Kremenek, and R. Muntz, "A probabilistic room location service for wireless networked environments," in Proc. of Ubiquitous Computing, 2001.
23 Texas Instrument. CC2430 Data Sheet. Available at web: http://www.ti.com/lit/gpn/cc2430
24 A. Haeberlen, E. Flannery, A. M. Ladd, A. Rudys, D. S. Wallach, and L. E. Kavraki, "Practical robust localization over large-scale 802.11 wireless networks," in Proc. of ACM MOBICOM, 2004.