Smartphone-based Wi-Fi tracking system exploiting the RSS peak to overcome the RSS variance problem

Pervasive and Mobile Computing

Volumn 9, Issue 3, 2013, Pages 406-420

  Kim, Yungeun ^a   Shin, Hyojeong ^a   Chon, Yohan ^a   Cha, Hojung ^a  

^a Yonsei University   (South Korea)

Author keywords

RSS variance problem; Smartphone; Wi Fi fingerprinting

Indexed keywords

MOBILE COMPUTING; TRACKING (POSITION); WIRELESS LOCAL AREA NETWORKS (WLAN);

CALIBRATION ALGORITHM; ENVIRONMENTAL CHANGE; PEDESTRIAN TRACKING; RECEIVED SIGNAL STRENGTH; RSS VARIANCE PROBLEMS; TRACKING SYSTEM; WI-FI FINGERPRINTING;

SMARTPHONES;

EID: 84876689648     PISSN: 15741192     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.pmcj.2012.12.003     Document Type: Article

References (27)

1. J. Hightower, and G. Borriello Location systems for ubiquitous computing Computer 34 2001 57 66 (Pubitemid 32742945)
2. M. Satyanarayanan Pervasive computing: vision and challenges IEEE Personal Communications 8 2001 10 17 (Pubitemid 33060762)
3. P. Bahl, and V. Padmanabhan Radar: an in-building rf-based user location and tracking system INFOCOM 2000. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies, Proceedings, IEEE, Vol. 2 2000 IEEE 775 784 (Pubitemid 30584527)
4. A. Haeberlen, E. Flannery, A. Ladd, A. Rudys, D. Wallach, and L. Kavraki Practical robust localization over large-scale 802.11 wireless networks Proceedings of the 10th Annual International Conference on Mobile Computing and Networking 2004 ACM 70 84 (Pubitemid 40061932)
5. M. Kjærgaard, and C. Munk Hyperbolic location fingerprinting: a calibration-free solution for handling differences in signal strength (concise contribution) PerCom 2008. Sixth Annual IEEE International Conference 2008 IEEE 110 116
6. A. Tsui, Y. Chuang, and H. Chu Unsupervised learning for solving RSS hardware variance problem in wifi localization Mobile Networks and Applications 14 2009 677 691
7. U. Steinhoff, and B. Schiele Dead reckoning from the pocket - an experimental study PerCom 2010 Eighth IEEE International Conference 2010 IEEE 162 170
8. J. Chon, and H. Cha Lifemap: a smartphone-based context provider for location-based services IEEE Pervasive Computing 10 2011 58 67
9. Y. Kim, H. Shin, and H. Cha Smartphone-based Wi-Fi pedestrian-tracking system tolerating the RSS variance problem Tenth Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2012. Tenth Annual IEEE International Conference on 2012 IEEE
10. M. Brunato, and R. Battiti Statistical learning theory for location fingerprinting in wireless lans Computer Networks 47 2005 825 845 (Pubitemid 40308680)
11. P. Castro, P. Chiu, T. Kremenek, R. Muntz, A probabilistic room location service for wireless networked environments, in: Ubicomp 2001: Ubiquitous Computing, Springer, pp. 18-34.
12. M. Youssef, and A. Agrawala The horus location determination system Wireless Networks 14 2008 357 374 (Pubitemid 351704966)
13. A. Kushki, K. Plataniotis, and A. Venetsanopoulos Kernel-based positioning in wireless local area networks IEEE Transactions on Mobile Computing 6 2007 689 705 (Pubitemid 46685746)
14. A. Kushki, K. Plataniotis, and A. Venetsanopoulos Intelligent dynamic radio tracking in indoor wireless local area networks IEEE Transactions on Mobile Computing 9 2010 405 419
15. O. Woodman, and R. Harle Rf-based initialisation for inertial pedestrian tracking Pervasive Computing 2009 238 255
16. J. Park, B. Charrow, D. Curtis, J. Battat, E. Minkov, J. Hicks, S. Teller, and J. Ledlie Growing an organic indoor location system Proceedings of the 8th International Conference on Mobile Systems, Applications, and Services 2010 ACM 271 284
17. K. Chintalapudi, A. Padmanabha Iyer, and V. Padmanabhan Indoor localization without the pain Proceedings of the 16th Annual International Conference on Mobile Computing and Networking 2010 ACM 173 184
18. Y. Kim, Y. Chon, and H. Cha Smartphone-based collaborative and autonomous radio fingerprinting IEEE Transactions on Systems, Man, and Cybernetics Part C: Applications and Reviews 2012 1 11
19. M. Kjærgaard Automatic mitigation of sensor variations for signal strength based location systems Location-and Context-Awareness 2006 30 47 (Pubitemid 44044994)
20. F. Dong, Y. Chen, J. Liu, Q. Ning, and S. Piao A calibration-free localization solution for handling signal strength variance Mobile Entity Localization and Tracking in GPS-Less Environnments 2009 79 90
21. J. Park, D. Curtis, S. Teller, and J. Ledlie Implications of device diversity for organic localizationm INFOCOM 2011 IEEE 3182 3190
22. F. Ichikawa, J. Chipchase, and R. Grignani Where's the phone? A study of mobile phone location in public spaces 2005 2nd International Conference on Mobile Technology, Applications and Systems 2005 IEEE 1 8
23. C. Figuera, J. Rojo-Álvarez, I. Mora-Jiménez, A. Guerrero-Curieses, M. Wilby, and J. Ramos-López Time-space sampling and mobile device calibration for wifi indoor location systems IEEE Transactions on Mobile Computing 10 2011 913 926
24. K. Frank, B. Krach, N. Catterall, P. Robertson, Development and evaluation of a combined wlan & inertial indoor pedestrian positioning system, in: ION GNSS.
25. O. Woodman, and R. Harle Pedestrian localisation for indoor environments Proceedings of the 10th International Conference on Ubiquitous Computing 2008 ACM 114 123
26. P. Jaccard The distribution of the flora in the alpine zone. 1 New Phytologist 11 1912 37 50
27. G. Zaruba, M. Huber, F. Kamangar, and I. Chlamtac Indoor location tracking using RSSI readings from a single Wi-Fi access point Wireless Networks 13 2007 221 235