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| Shih-Hau Fang, Tsung-Nan Lin, "Principal Component Localization in Indoor WLAN Environments," IEEE Transactions on Mobile Computing, vol. 11, no. 1, pp. 100-110, January, 2012. | |||
| BibTex | x | ||
| @article{ 10.1109/TMC.2011.30, author = {Shih-Hau Fang and Tsung-Nan Lin}, title = {Principal Component Localization in Indoor WLAN Environments}, journal ={IEEE Transactions on Mobile Computing}, volume = {11}, number = {1}, issn = {1536-1233}, year = {2012}, pages = {100-110}, doi = {http://doi.ieeecomputersociety.org/10.1109/TMC.2011.30}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - JOUR JO - IEEE Transactions on Mobile Computing TI - Principal Component Localization in Indoor WLAN Environments IS - 1 SN - 1536-1233 SP100 EP110 EPD - 100-110 A1 - Shih-Hau Fang, A1 - Tsung-Nan Lin, PY - 2012 KW - WLAN KW - indoor localization KW - fingerprinting KW - transformation KW - principal component. VL - 11 JA - IEEE Transactions on Mobile Computing ER - | |||
[1] K. Axel, Location-Based Services: Fundamentals and Operation. John Wiley & Sons, 2005.
[2] S. Tekinay, “Wireless Geolocation Systems and Services,” IEEE Comm. Magazine, vol. 36, no. 4, pp. 28-28, Apr. 1998.
[3] M. Kavitha, L. Maria, and H. Paul, “Towards Smart Surroundings: Enabling Techniques and Technologies for Localization,” Proc. First Int'l Workshop Location and Context-Awareness (LoCA '05), pp. 350-362, 2005.
[4] M. Hazas, J. Scott, and J. Krumm, “Location-Aware Computing Comes of Age,” Computer, vol. 37, no. 2, pp. 95-97, Feb. 2004.
[5] P. Prasithsangaree, P. Krishnamurthy, and P. Chrysanthis, “On Indoor Position Location with Wireless LANs,” Proc. IEEE Int'l Symp. Personal, Indoor and Mobile Radio Comm., vol. 2, pp. 720-724, 2002.
[6] A. Krishnakumar and P. Krishnan, “On the Accuracy of Signal Strength-Based Estimation Techniques,” Proc. IEEE INFOCOM, vol. 1, pp. 642-650, 2005.
[7] Y. Chen and H. Kobayashi, “Signal Strength Based Indoor Geolocation,” Proc. IEEE Int'l Conf. Comm., vol. 1, pp. 436-439, 2002.
[8] A. Sayed, A. Tarighat, and N. Khajehnouri, “Network-Based Wireless Location: Challenges Faced in Developing Techniques for Accurate Wireless Location Information,” IEEE Signal Processing Magazine, vol. 22, no. 4, pp. 24-40, July 2005.
[9] T.S. Rappaport, J.H. Reed, and D. Woerner, “Position Location Using Wireless Communications on Highways of the Future,” IEEE Comm. Magazine, vol. 34, no. 10, pp. 33-41, Oct. 1996.
[10] K.W. Kolodziej and J. Hjelm, Local Positioning Systems: LBS Applications and Services. CRC Taylor & Francis, 2006.
[11] A. Smailagic and D. Kogan, “Location Sensing and Privacy in a Context-Aware Computing Environment,” IEEE Wireless Comm., vol. 9, no. 5, pp. 10-17, Oct. 2002.
[12] A. Krishnakumar and P. Krishnan, “The Theory and Practice of Signal Strength-Based Location Estimation,” Proc. Int'l Conf. Collaborative Computing: Networking, Applications and Worksharing, 2005.
[13] M. Kjærgaard, “A Taxonomy for Radio Location Fingerprinting,” Proc. Int'l Conf. Location-and Context-Awareness, pp. 139-156, 2007.
[14] C. Patterson, R. Muntz, and C. Pancake, “Challenges in Location-Aware Computing,” IEEE Pervasive Computing, vol. 2, no. 2, pp. 80-89, Apr.-June 2003.
[15] T.-N. Lin and P.-C. Lin, “Performance Comparison of Indoor Positioning Techniques Based on Location Fingerprinting in Wireless Networks,” Proc. Int'l Conf. Wireless Networks, Comm. and Mobile Computing, pp. 1569-1574, 2005.
[16] M. Youssef, A. Agrawala, and A.U. Shankar, “WLAN Location Determination via Clustering and Probability Distributions,” Proc. IEEE Int'l Conf. Pervasive Computing and Comm., pp. 143-150, 2003.
[17] Y. Chen, J. Yin, X. Chai, and Q. Yang, “Power-Efficient Access-Point Selection for Indoor Location Estimation,” IEEE Trans. Knowledge and Data Eng., vol. 18, no. 7, pp. 877-888, July 2006.
[18] T. King, T. Haenselmann, and W. Effelsberg, “On-Demand Fingerprint Selection for 802.11-Based Positioning Systems,” Proc. Int'l Symp. a World of Wireless, Mobile and Multimedia Networks, 2008.
[19] A. Kushki, K.N. Plataniotis, and A.N. Venetsanopoulos, “Kernel-Based Positioning in Wireless Local Area Networks,” IEEE Trans. Mobile Computing, vol. 6, no. 6, pp. 689-705, June 2007.
[20] R. Duda, P. Hart, and D. Stork, Pattern Classification. John Wiley & Sons, 2000.
[21] I.T. Jollife, Principal Component Analysis. Springer-Verlag, 2002.
[22] K.I. Diamantaras and S.Y. Kung, Principal Component Neural Networks. John Wiley & Sons, 1996.
[23] T. King, T. Butter, H. Lemelson, T. Haenselmann, and W. Effelsberg, “Loc(lib,trace,eva,ana): Research Tools for 802.11-Based Positioning Systems,” Proc. ACM Int'l Workshop Wireless Network Testbeds, Experimental Evaluation and Characterization, pp. 67-74, 2007.
[24] T. King, T. Haenselmann, and W. Effelsberg, “Deployment, Calibration, and Measurement Factors for Position Errors in 802.11-Based Indoor Positioning Systems,” Proc. Int'l Conf. Location- and Context-Awareness, pp. 17-34, 2007.
[25] X. Li and K. Pahlavan, “Super-Resolution TOA Estimation with Diversity for Indoor Geolocation,” IEEE Trans. Wireless Comm., vol. 3, no. 1, pp. 224-234, Jan. 2004.
[26] K. Pahlavan, X. Li, and J. Makela, “Indoor Geolocation Science and Technology,” IEEE Comm. Magazine, vol. 40, no. 2, pp. 112-118, Feb. 2002.
[27] G. Sun, J. Chen, W. Guo, and K. Liu, “Signal Processing Techniques in Network-Aided Positioning: A Survey of State-of-the-Art Positioning Designs,” IEEE Signal Processing Magazine, vol. 22, no. 4, pp. 12-23, July 2005.
[28] P. Bahl and V.N. Padmanabhan, “RADAR: An In-Building RF-Based User Location and Tracking System,” Proc. IEEE INFOCOM, pp. 775-784, 2000.
[29] A. Agiwal, P. Khandpur, and H. Saran, “LOCATOR: Location Estimation System for Wireless LANs,” Proc. ACM Int'l Workshop Wireless Mobile Applications and Services on WLAN Hotspots, pp. 102-109, 2004.
[30] R. Battiti, A. Villani, and T.L. Nhat, “Neural Network Models for Intelligent Networks: Deriving the Location from Signal Patterns,” Proc. Ann. Symp. Autonomous Intelligent Networks and Systems, 2002.
[31] R. Battiti, T.L. Nhat, and A. Villani, “Location-Aware Computing: A Neural Network Model for Determining Location in Wireless LANs,” Technical Report DIT-02-0083, Dept. of Information and Comm. Technology, Univ. of Trento, 2002.
[32] T. Roos, P. Myllymaki, H. Tirri, P. Misikangas, and J. Sievanen, “A Probabilistic Approach to WLAN User Location Estimation,” Wireless Information Networks, vol. 9, no. 3, pp. 155-164, 2002.
[33] S.H. Fang and T.N. Lin, “Indoor Localization by a Novel Probabilistic Approach,” Proc. IEEE Eighth Workshop Signal Processing Advances in Wireless Comm., pp. 1-4, 2007.
[34] D. Madigan, E. Einahrawy, R. Martin, W.-H. Ju, P. Krishnan, and A. Krishnakumar, “Bayesian Indoor Positioning Systems,” Proc. IEEE INFOCOM, vol. 2, pp. 1217-1227, 2005.
[35] D. Fox, J. Hightower, L. Liao, and D. Schulz, “Bayesian Filtering for Location Estimation,” IEEE Pervasive Computing, vol. 2, no. 3, pp. 24-33, July-Sept. 2003.
[36] V. Seshadri, G. Zaruba, and M. Huber, “A Bayesian Sampling Approach to in-Door Localization of Wireless Devices Using Received Signal Strength Indication,” Proc. IEEE Int'l Conf. Pervasive Computing and Comm., pp. 75-84, 2005.
[37] M. Youssef and A. Agrawala, “Handling Samples Correlation in the Horus System,” Proc. IEEE INFOCOM, pp. 1023-1031, 2004.
[38] M. Youssef and A. Agrawala, “The Horus WLAN Location Determination System,” Proc. Int'l Conf. Mobile Systems, Applications and Services, pp. 205-218, 2005.
[39] M. Youssef and A. Agrawala, “The Horus Location Determination System,” Wireless Networks, vol. 14, no. 3, pp. 357-374, 2008.
[40] Z. li Wu, C. hung Li, J.-Y. Ng, and K.R. Leung, “Location Estimation via Support Vector Regression,” IEEE Trans. Mobile Computing, vol. 6, no. 3, pp. 311-321, Mar. 2007.
[41] J. Pan, J. Kwok, Q. Yang, and Y. Chen, “Accurate and Low-Cost Location Estimation Using Kernels,” Proc. Int'l Joint Conf. Artificial Intelligent, pp. 1366-1370, 2005.
[42] J.J. Pan, J.T. Kwok, Q. Yang, and Y. Chen, “Multidimensional Vector Regression for Accurate and Low-Cost Location Estimation in Pervasive Computing,” IEEE Trans. Knowledge and Data Eng., vol. 18, no. 9, pp. 1181-1193, Sept. 2006.
[43] C. Nerguizian, C. Despins, and S. Affes, “Geolocation in Mines with an Impulse Response Fingerprinting Technique and Neural Networks,” Proc. Vehicular Technology Conf., pp. 3589-3594, 2004.
[44] C. Nerguizian, C. Despins, and S. Affes, “Geolocation in Mines with an Impulse Response Fingerprinting Technique and Neural Networks,” IEEE Trans. Wireless Comm., vol. 5, no. 3, pp. 603-611, Mar. 2006.
[45] T. King, S. Kopf, T. Haenselmann, C. Lubberger, and W. Effelsberg, “Compass: A Probabilistic Indoor Positioning System Based on 802.11 and Digital Compasses,” Proc. Int'l Workshop Wireless Network Testbeds, Experimental Evaluation and Characterization, 2006.
[46] S. Golden and S. Bateman, “Sensor Measurements for Wi-Fi Location with Emphasis on Time-of-Arrival Ranging,” IEEE Trans. Mobile Computing, vol. 6, no. 10, pp. 1185-1198, Oct. 2007.
[47] J. Yin, Q. Yang, and L.M. Ni, “Learning Adaptive Temporal Radio Maps for Signal-Strength-Based Location Estimation,” IEEE Trans. Mobile Computing, vol. 7, no. 7, pp. 869-883, July 2008.
[48] S.-H. Fang, T.-N. Lin, and P.-C. Lin, “Location Fingerprinting in a Decorrelated Space,” IEEE Trans. Knowledge and Data Eng., vol. 20, no. 5, pp. 685-691, May 2008.
[49] V. Otsason, A. Varshavsky, A. LaMarca, and E. de Lara, “Accurate GSM Indoor Localization,” Proc. Seventh Int'l Conf. Ubiquitous Computing , pp. 141-158, 2005.
[50] S.-H. Fang, J.-C. Chen, H.-R. Huang, and T.-N. Lin, “Is FM a Rf-Based Positioning Solution in a Metropolitan-Scale Environment? A Probabilistic Approach with Radio Measurements Analysis,” IEEE Trans. Broadcasting, vol. 55, no. 3, pp. 577-588, Sept. 2009.
[51] X. Chai and Q. Yang, “Reducing the Calibration Effort for Probabilistic Indoor Location Estimation,” IEEE Trans. Mobile Computing, vol. 6, no. 6, pp. 649-662, June 2007.
[52] L.F.M. de Moraes and B.A.A. Nunes, “Calibration-Free WLAN Location System Based on Dynamic Mapping of Signal Strength,” Proc. ACM Int'l Workshop Mobility Management and Wireless Access, pp. 92-99, 2006.
[53] E.A. Martínez, R. Cruz, and J. Favela, “Estimating User Location in a WLAN Using Backpropagation Neural Networks,” Proc. Ninth Ibero-Am. Conf. AI, pp. 737-746, 2004.
[54] M.B. Kjærgaard, G. Treu, and C. Linnhoff-Popien, “Zone-Based RSS Reporting for Location Fingerprinting,” Proc. Fifth Int'l Conf. Pervasive Computing, pp. 316-333, 2007.
[55] K. Kaemarungsi, “Efficient Design of Indoor Positioning Systems Based on Location Fingerprinting,” Proc. Int'l Conf. Wireless Networks, Comm. and Mobile Computing, pp. 181-186, 2005.
[56] Y. Xu, J. Winter, and W. Lee, “Prediction-Based Strategies for Energy Saving in Object Tracking Sensor Networks,” Proc. IEEE Int'l Conf. Mobile Data Management, pp. 346-357, 2004.
[57] Y. Xu and W. Lee, “On Localized Prediction for Power Efficient Object Tracking in Sensor Networks,” Proc. Int'l Conf. Distributed Computing Systems Workshop, pp. 434-439, 2003.
[58] IEEE 802.11e/D5.0, Draft Supplement to Part 11: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications: Medium Access Control (MAC) Enhancements for Quality of Service (QoS), IEEE, 2003.
[59] M. Youssef, M. Abdallah, and A. Agrawala, “Multivariate Analysis for Probabilistic WLAN Location Determination Systems,” Proc. Int'l Conf. Mobile and Ubiquitous Systems: Networking and Services, pp. 353-362, 2005.
[60] 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,” Proc. ACM MobiCom, 2004.
[61] J. Small, A. Smailagic, and D.P. Siewiorek, “Determining User Location for Context Aware Computing through the Use of a Wireless LAN Infrastructure,” technical report, Inst. for Complex Eng. Systems, Carnegie Mellon Univ., 2000.
[62] P. Krishnan, A. Krishnakumar, W.-H. Ju, C. Mallows, and S. Gamt, “A System for LEASE: Location Estimation Assisted by Stationery Emitters for Indoor RF Wireless Networks,” Proc. IEEE INFOCOM, vol. 2, pp. 1001-1011, 2004.
[63] M. Youssef, Dept. of Computer Science, Univ. of Maryland, http://www.cs.umd.edu/usersmoustafa, 2001.
[64] M. Brunato and R. Battiti, “Statistical Learning Theory for Location Fingerprinting in Wireless LANs,” Computer Networks, vol. 47, no. 6, pp. 825-845, 2005.
[65] V. Honkavirta, T. Perala, S. Ali-Loytty, and R. Piche, “A Comparative Survey of Wlan Location Fingerprinting Methods,” Proc. Sixth Workshop Positioning, Navigation and Comm., pp. 243-251, 2009.
[66] P. Castro, P. Chiu, T. Kremenek, and R.R. Muntz, “A Probabilistic Room Location Service for Wireless Networked Environments,” Proc. Int'l Conf. Ubiquitous Computing, pp. 18-34, 2001.
[67] A. Ladd, K. Bekris, G. Marceau, A. Rudys, L. Kavraki, and D. Wallach, “Robotics-Based Location Sensing Using Wireless Ethernet,” Technical Report TR02-393, Dept. of Computer Science, Rice Univ., 2002.
[68] K. Kaemarungsi and P. Krishnamurthy, “Properties of Indoor Received Signal Strength for WLAN Location Fingerprinting,” Proc. First Ann. Int'l Conf. Mobile and Ubiquitous Systems: Networking and Services, pp. 14-23, 2004.
[69] K. Kaemarungsi, “Distribution of WLAN Received Signal Strength Indication for Indoor Location Determination,” Proc. Int'l Symp. Wireless Pervasive Computing, p. 6, 2006.
[70] P. Castro and R. Munz, “Managing Context Data for Smart Spaces,” IEEE Personal Comm., vol. 7, no. 5, pp. 44-46, Oct. 2000.

