Homogeneous features utilization to address the device heterogeneity problem in fingerprint localization

IEEE Sensors Journal

Volumn 14, Issue 4, 2014, Pages 998-1005

  Chen, Lyu Han ^a   Wu, Eric Hsiao Kuang ^b   Jin, Ming Hui ^c   Chen, Gen Huey ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^b NATIONAL CENTRAL UNIVERSITY   (Taiwan)

^c INSTITUTE FOR INFORMATION INDUSTRY   (Taiwan)

Author keywords

Device heterogeneity; fingerprint; indoor positioning; received signal strength; WLAN

Indexed keywords

DEVICE HETEROGENEITIES; FINGERPRINT; INDOOR POSITIONING; RECEIVED SIGNAL STRENGTH; WLAN;

ALGORITHMS; CALIBRATION; INFORMATION SERVICES; RSS; UBIQUITOUS COMPUTING; WIRELESS LOCAL AREA NETWORKS (WLAN);

PROBLEM SOLVING;

EID: 84896831933     PISSN: 1530437X     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSEN.2013.2290736     Document Type: Article

References (22)

1. [Online]. Available: http://www.gps.gov/
2. D. Niculescu and N. Badri, "Ad-hoc positioning system (APS) using AOA, " in Proc. IEEE Int. Conf. Comput. Commun., vol. 3. Apr. 2003, pp. 1734-1743.
3. L. Xinrong and K. Pahlavan, "Super-resolution TOA estimation with diversity for indoor geolocation, " IEEE Trans. Wireless Commun., vol. 3, no. 1, pp. 224-234, Jan. 2004.
4. A. Savvides, C. C. Han, and M. B. Strivastava, "Dynamic fine-grained localization in Ad-hoc networks of sensors, " in Proc. 7th ACM Int. Conf. Mobile Comput. Netw., Jan. 2001, pp. 166-179. (Pubitemid 33006713)
5. P. Bahl and V. N. Padmanabhan, "RADAR: An in-building RF-based user location and tracking system, " in Proc. 19th Ann. Joint Conf. IEEE Int. Conf. Comput. Commun., vol. 2, Mar. 2000, pp. 775-784. (Pubitemid 30584527)
6. L. M. Ni, Y. Liu, Y. C. Lau, and A. P. Patil, "LANDMARC: Indoor location sensing using active RFID, " in Proc. IEEE Int. Conf. Pervas. Comput. Commun., Mar. 2003, pp. 407-415.
7. V. Fox, J. Hightower, L. Lin, D. Schulz, and G. Borriello, "Bayesian filtering for location estimation, " IEEE Pervas. Comput., vol. 2, no. 3, pp. 24-33, Jul./Sep. 2003.
8. M. Brunato and R. Battiti, "Statistical learning theory for location fingerprinting in wireless lans, " Comput. Netw., vol. 47, no. 6, pp. 825-845, 2005. (Pubitemid 40308680)
9. F. Chen, W. S. A. Au, S. Valaee, and T. Zhenhui, "Compressive sensing based positioning using RSS of WLAN access points, " in Proc. IEEE Int. Conf. Comput. Commun., Mar. 2010, pp. 1-9.
10. A. Kushki, K. N. Plataniotis, and A. N. Venetsanopoulos, "Kernel-based positioning in wireless local area networks, " IEEE Trans. Mobile Comput, vol. 6, no. 6, pp. 689-705, Jun. 2007. (Pubitemid 46685746)
11. A. M. Edgar, C. Raul, and F. Jesus, "Estimating user location in a WLAN using back propagation neural networks, " Lecture Notes Comput. Sci., vol. 3315, pp. 737-746, Jan. 2004.
12. Z. L. Wu, C.-H. Li, K.-Y Ng, and R. P. H. Leung, "Location estimation via support vector regression, " IEEE Trans. Mobile Comput., vol. 6, no. 3, pp. 311-321, Mar. 2007. (Pubitemid 46374544)
13. C. T. Huang, C.-H. Wu, Y.-N. Lee, and J.-T. Chen, "A novel indoor RSS-based position location algorithm using factor graphs, " IEEE Trans. Wireless Commun., vol. 8, no. 6, pp. 3050-3058, Jun. 2009.
14. S. P. Kuo and Y.-C. Tseng, "A scrambling method for fingerprint positioning based on temporal diversity and spatial dependency, " IEEE Trans. Knowl. Data Eng., vol. 20, no. 5, pp. 678-684, May 2008.
15. 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. ACM MOBICOM, 2004, pp. 70-84. (Pubitemid 40061932)
16. J. G. Park, D. Curtis, S. Teller, and J. Ledlie, "Implications of device diversity for organic localization, " in Proc. IEEE Int. Conf. Comput. Commun., Apr. 2011, pp. 3182-3190.
17. C. Figuera, J. L. Rojo-Alvarez, I. Mora-Jimenez, A. Guerrero-Curieses, M. Wilby, and J. Ramos-Lopez, "Time-space sampling and mobile device calibration for WiFi indoor location systems, " IEEE Trans. Mobile Comput., vol. 10, no. 7, pp. 913-926, Jul. 2011.
18. A. W. Tsui, Y.-H. Chuang, and H.-H. Chu, "Unsupervised learning for solving RSS hardware variance problem in WiFi localization, " Mobile Netw. Appl., vol. 14, no. 5, pp. 677-691, 2009.
19. F. D. Rosa, H. Leppakoski, S. Biancullo, and J. Nurmi, "Ad-hoc networks aiding indoor calibrations of heterogeneous devices for fingerprinting applications, " in Proc. IEEE Int. Conf. Indoor Positioning Indoor Navigat., Sep. 2010, pp. 1-6.
20. M. B. Kjaergaard and C. V. Munk, "Hyperbolic location fingerprinting: A calibration-free solution for handling differences in signal strength, " in Proc. IEEE Int. Conf. Pervas. Comput. Commun., Mar. 2008, pp. 110-116.
21. F. Dong, Y. Chen, J. Liu, Q. Ning, and S. Piao, "A calibration-free localization solution for handling signal strength variance, " in Proc. Int. Workshop MELT, 2009, pp. 79-90.
22. S. L. Jackson, Research Methods and Statistics: A Critical Thinking Approach, 4th ed., Stamford, CT, USA: Cengage Learning, 2011.