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READINGS & REFERENCES
Following there is a selection of literature on the localization topic.
Abowd, G.D., Battestini, A., O'Connell, T., (2002). The location service: a framework for handling multiple location sensing technologies. Obtenido de: http://www.cc.gatech.edu/fce/ahri/publications/location service.pdf.
Akl, R., Tummala, D., Li, X. (2006). Indoor Propagation Modeling at 2.4GHz for IEEE 802.11 Networks. The 6th International Multi-Conference on Wireless and Optical Communications. Banff, Canadá: IASTED.
Angermann, M., Kammann, J., Robertson, P., Steingaβ, A., Strang, T. (2001). Software representation for Heterogeneous Location Data Sources Using Probability Density Functions. International Symposium on Location Based Services for Cellular Users (LOCELLUS). Febrero 2001, Munich, Alemania.
Anne, M., Crowley, J. L., Devin, V., Privat, G. (2005). Localisation Intra-bâtiment Multi-technologies: RFID, WiFi et Vision. Proceedings of UBIMOB 05, pp. 29-35: ACM.
Aparicio, S., Pérez, J., Bernardos, A.M., Casar, J.R. (2008a). A fusion method based on Bluetooth and WLAN Technologies for Indoor Location. Proceedings of the International Conf. in Multisensor Fusion and Integration for Intelligent Systems, pp. 487-491, IEEE Computer Society.
Aparicio, S., Pérez, J., Bernardos, A.M., Casar, J.R. (2008b). An indoor location method based on a fusion map using Bluetooth and WLAN technologies, en J.M Corchado, S. Rodriguez, J. Llinas, J.M. Molina (eds.), International Symposium on Distributed Computing and Artificial Intelligence 2008 (DCAI 2008), pp. 702-710, Springer.
Ault, A., Zhong, X., Coyle, E.J. (2005). K-Nearest-Neighbor Analysis of Received Signal Strength Distance Estimation Across Environments. Proceedings of 1st workshop on Wireless Network Measurements (WiNMee), Abril 2005, Trentino, Italia.
Bahl, P., Padmanabhan, V.N. (2000). RADAR: an in-building RF-based user location and tracking system, Proc. Infocom, pp. 775-784, IEEE Computer Society.
Bandara, U., Hasegawa, M., Inoue, M., Morikawa, H. (2004). Design and implementation of a Bluetooth signal strength based location sensing system. IEEE Radio and Wireless Conference, pp. 319-322.
Barton, R. J., Rao, D. (2008). Performance Capabilities of Long-Range UWB-IR TDOA Localization Systems. EURASIP Journal on Advances in Signal Processing, 1-17. doi: 10.1155/2008/236791.
Berg Insight (2006). GPS and Galileo in Mobile Handsets. Obtenido de: http://www.berginsight.com/ReportPDF/Summary/BI-GGMH-SUM.pdf.
Bernardos, A.M., Casar, J.R., Tarrío, P. (2007a). Building a framework to characterize location-based services. Proc. of the 2007 Int. Conf. and Exhibition on next generation mobile applications, services and technologies (NGMAST), pp. 110-118. IEEE Computer Society.
Bernardos, A.M., Tarrío, P., Casar, J.R. (2007b). A Taxonomy of Mobile Location-Based Services. Proceedings of the International Conference on e-Business, pp. 114-120, Barcelona: INSTICC Press.
Besada, J.A., Bernardos, A.M., Casar, J.R. (2007). Analysis of tracking methods for wireless in-door localization. Proceedings of the International Symposium on Wireless Pervasive Computing, IEEE Computer Society. doi: 10.1109/ISWPC.2007.342653.
Bhasker, E.S., Brown, S.W., Griswold, W.G. (2004). Employing User Feedback for Fast, Accurate, Low-Maintenance Geolocationing. Proceedings of the Second Annual International Conference on Pervasive Computing and Communications Workshops (PERCOMW’04), pp. 111- 120, IEEE Computer Society.
Bohn, J., Vogt, H. (2003). Robust Probabilistic Positioning based on High-level Sensor-Fusion and Map Knowledge. Zurich: Technical Report No. 421, ETH Zurich.
Castro, P., Chiu, P., Kremenek, T., Muntz, R. (2001). A Probabilistic Room Location Service for Wireless Networked Environments. En G. Abowd, B. Brumitt, S. Shafer (eds.) Ubicomp 2001: Ubiquitous Computing. Vol. 2201/2001, pp. 18-34, Springer.
Collado, E. (2007). Diseño y desarrollo de algoritmos de localización de dispositivos en redes inalámbricas para provisión de servicios móviles. Proyecto Fin de Carrera, Universidad Politécnica de Madrid, Madrid.
Collado, E., Bernardos, A.M., Tarrío, P., Besada, J.A., Casar, J.R. (2007). Desarrollo y Despliegue de Sistemas de Localización en WLAN Basados en Huella de Potencia. Proc. of the 2nd Iberian Conference on Information Systems and Technologies, Vol. 2, pp. 453-464, Oporto, Portugal.
Cotroneo, D., Russo, S., Cornevilli, F., Ficco, M., Vecchio, V. (2004). Implementing positioning services over an ubiquitous infrastructure. Proc. of the Second IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems (WSTFEUS’04), pp. 14-18, IEEE Computer Society.
Crowley, J.L., Demazeau, Y., (1993). Principles and Techniques for Sensor Data Fusion. Signal Processing, Vol. 32, Is. 1-2, pp. 5-27.
D'Roza. T., Bilchev, G. (2003). An overview of location-based services, BT Technology Journal, Vol. 21, No. 1, pp. 20-27.
Durrant-Whyte, H.F. (1988). Sensor Models and Multisensor Integration. International Journal of Robotics Research, 7(6):97-113.
Ejigu, D., Scuturici, M., Brunie, L. (2007). CoCA: A Collaborative Context-Aware Service Platform for Pervasive Computing. International Conference on Information Tecnology, pp. 297-302, IEEE Computer Society.
Ellebæk, K. (2007). A Survey of context-aware middleware. Proceedings of the 25th conference on IASTED International Multi-Conference: Software Engineering, pp. 148-155. Anaheim, CA, EE.UU.: ACTA Press.
Elmenreich, W., (2007). A Review on System Architectures for Sensor Fusion Applications, SEUS 2007, Lecture Notes in Computer Science, Vol. 4761, pp. 547-559, Springer.
Elnahrawy, E., Li, X., Martin, R.P. (2004). The limits of localization using signal strength: a comparative study, Proc. First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, pp. 406-414, IEEE Computer Society.
Evennou, F., Marx, F. (2006). Advanced Integration of WiFi and Inertial Navigation Systems for Indoor Mobile Positioning. EURASIP Journal on Applied Signal Processing , 1-11.
Fernández, T., Rodas, J., Escudero, C., Iglesia, D. (2007). Bluetooth Sensor Network Positioning System with Dynamic Calibration. Proc. of the 4th International Symposium on Wireless Communication Systems, pp. 45-49, IEEE Computer Society.
Fox, D., Hightower, J., Liao, L., Schulz, D., Borriello, G. (2003). Bayesian Filters for Location Estimation. Pervasive Computing, Sept. 2003, pp. 24-33.
Obtenido de: http://www.is-frankfurt.de/publikationenNeu/MindyourStep!HowProfilingLocat1615.pdf.
Genco, A. (2005). Three step Bluetooth positioning. En T. Strang y C. Linhoff-Popien (eds.), Location and context awareness, LCNS, Vol. 3479/2005, pp. 52-62, Springer.
Giaglis, G.M., Kourouthanassis, P., Tsamakos, A. (2003). Towards a classification framework for Mobile Location Services, en Mobile Commerce Technology, Theory and Applications, pp. 67-85. Hersley, PA, USA: Idea Group Publishing.
Golden, S. A., Bateman, S. S. (2007). Sensor Measurements for Wi-Fi Location with Emphasis on Time-of-Arrival Ranging. IEEE Transactions on Mobile Computing, Vol. 6, No. 10 , 1185-1198.
Gratton, E. (2002). M-commerce: The Notion of Consumer Consent in Receiving Location Based-Advertising, Canadian Journal of Law and Technology, Vol. 1, Number 3, pp. 59-77.
Graumann, D., Lara, W., Hightower, J., Borriello, G. (2003). Real-world implementation of the Location Stack: The Universal Location Framework, Proceedings of the 5th Workshop on Mobile Computing Systems Applications (WMCSA 2003), pp. 122-128, IEEE.
Gustafsson, F., Gunnarsson, F. (2003). Positioning Using Time-Difference of Arrival Measurements. Proc. of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Vol. 6, Is. 6-10, pp. VI - 553-6, doi: 10.1109/ICASSP.2003.1201741.
[1] Hall, D. J., Llinas, J. (2001). Multisensor Data Fusion. En Handbook of Multisensor Data Fusion. Florida: CRC Press.
Hall, D.L., Llinas, J. (2001). Handbook of Multisensor Data Fusion. Florida: CRC Press.
Hashemi, H. (1993). The Indoor Radio Propagation Channel. Proceedings of the IEEE, Vol. 81, No. 7, 943-968.
Hatami, A., Pahlavan, K., Heidari, M., Akgul, F. (2006). On RSS and TOA based indoor geolocation - a comparative performance evaluation. Wireless Communications and Networking Conference, WCNC 2006, pp. 2267-2272. Las Vegas: IEEE Computer Society.
Hightower, J., Borriello, G. (2001). A Survey and Taxonomy of Location Systems for Ubiquitous Computing. Computer, 34(8), pp.57-66.
Hightower, J., Borriello, G. (2003). The Location Stack: Multi-sensor Fusion in Action. Obtenido en octubre 2007 de: http://seattle.intel-research.net/people/jhightower/pubs/hightower2003ubidemo/hightower2003ubidemo.pdf.
Hightower, J., Brumitt, B., Borriello, G. (2002). The Location Stack: A Layered Model for Location in Ubiquitous Computing, Proc. of the 4th IEEE Workshop on Mobile Computing Systems Applications (WMCSA 2002), pp. 22-28, IEEE Computer Society.
Hightower, J., LaMarca, A., Smith, I.E. (2006). Practical Lessons for Place Lab. Pervasive Computing, Septiembre.
Hii, P., Zaslavsky, A. (2005). Improving Location Accuracy by Combining WLAN Positioning and Sensor Technology. Proc. of the Workshop on Real-World Wireless Sensor Networks. Obtenido en: http://www.sics.se/realwsn05/papers/hii05improving.pdf.
Indulska, J., Sutton, P. (2003). Location Management in Pervasive Systems. Workshop on Wearable, Invisible, Context-Aware, Ambient, Pervasive and Ubiquitous Computing, pp. 143-151, Adelaida; Australian Computer Society .
Kaasinen, E. (2003). User needs for location-aware mobile services. Personal Ubiquitous Computing 7, 70-79.
Kang, D., Kang, K., Lee, H., Ko, E., Lee, J. (2007). A Systematic Design Tool of Context Aware System for Ubiquitous Healthcare Service in a Smart Home. Future generation communication and networking (fgcn 2007) Dec. 2007, Vol..: 2, pp. 49-54. doi: 10.1109/FGCN.2007.45.
King, T., Kopf, S., Haenselmann, T., Lubberger, C., Effelsberg, W. (2006). COMPASS: A Probabilistic Indoor Positioning System Based on 802.11 and Digital Compass. Proc. of the 1st international workshop on Wireless network testbeds, experimental evaluation & characterization, pp. 34-49, Nueva York: ACM.
Kjaergaard, M. B. (2007). A Taxonomy for Radio Location Fingerprinting. En LoCA 2007 LNCS 4718, 139-156, Springer.
Kleine-Ostmann, T., Bell, A.E. (2001). A data fusion architecture for enhanced position estimation in wireless networks. IEEE Communications Letters, Vol. 5. No. 8, pp. 343-345.
Kontanen, A., Hännikäinen, M., Leppäkoski, H., Hämäläinen, T.D. (2003). Experiments on Local Positioning with Bluetooth. Proc. of the IEEE International Conference on Information Technology: Computers and Communications (ITCC’03), pp. 297-303, IEEE Computer Society.
Küpper, A. (2005). Location-based services – Fundamentals and Operation, Wiley.
Kurkovsky, S., Zanev, V., Kurkovsky, A. (2005). SMMART, a Context-Aware Mobile Marketing Application: Experiences and Lessons. En Embedded and Ubiquitous Computing, LNCS Vol. 3823/2005, pp. 141-150, Springer.
Lähteenmäki, J. (1999). Indoor Propagation Models. Sección del Capítulo 4 “Propagation Prediction Models”, en el Informe Final de la Acción COST 231, eds. E. Damosso, L. Correia, disponible en http://www.lx.it.pt/cost231/final_report.htm.
Laitinen, H. et al. (2001). Cellular network optimisation based on mobile location, Working paper CELLO-WP2-VTT-D03-007-Int. Cello Consortium.
Lara, W. (2003). Universal Location Framework: A New Wireless Building Block. Intel Developer Update Magazine.
Liu, B., Lin, K., Wu, J. (2006). Analysis of hyperbolic and circular positioning algorithms using stationary signal-strength-difference measurements in wireless communications. IEEE Transactions on Vehicular Technology, 55, No. 2, 499-509.
Lorincz, K., Welsh, M. (2005). MoteTrack: A Robust, Decentralized Approach to RF-Based Location Tracking. Personal and Ubiquitous Computing, Vol. 11, No. 6 / agosto de 2007.
Martín, H. (2007). Diseño, despliegue y evaluación de un sistema de localización para redes de sensores, Proyecto Fin de Carrera, Universidad Politécnica de Madrid, Madrid.
Martín, H., Tarrío, P., Casar, J.R. (2007). Reducing Positioning Errors through Space Averaging for Location Based Indoor Applications. Proc. Workshop on User-Centric Technologies and Applications, pp. 59-67. Salamanca: Madrinet.
Martín, H., Tarrío, P. Bernardos, A.M., Casar, J.R. (2008) Experimental Evaluation of Channel Modelling and Fingerprinting Localization Techniques for Sensor Networks. En en J.M Corchado, S. Rodriguez, J. Llinas, J.M. Molina (eds.), International Symposium on Distributed Computing and Artificial Intelligence 2008 (DCAI 2008), Vol. 50/2009, pp. 748-756, Berlín: Springer.
Moreno, C.J. (2008). Diseño y Desarrollo de Algoritmos de Localización en Interiores para la Provisión de Servicios Basados en Contexto. Proyecto Fin de Carrera, Universidad Politécnica de Madrid, Madrid.
Moreno, C.J., Bernardos, A.M., Casar, J.R. (2008). An indoor location system based on RSS probability distribution estimation. 2nd Workshop in User-Centric Technologies and Applications, aceptado para publicación, 24 Octubre 2008, Salamanca, España.
Myllymaki, J., Edlund, S. (2002). Location Aggregation from Multiple Sources. Proc. of the Third International Conference on Mobile Data Management, pp. 131-138, Washington: IEEE Computer Society.
Naguib, H., Coulouris, G., (2001). Location Information Management. En Proc. Ubicomp 2001: Ubiquitous Computing: Third International Conference, LNCS 2201, pp. 35-41, Londres: Springer-Verlag.
Ni, L.M., Liu, Y., Lau, Y.C., Patil, A.P. (2003). LANDMARC: Indoor Location Sensing Using Active RFID. Proceedings of the First IEEE International Conference on Pervasive Computing (PerCom’03), pp. 407-415, IEEE Computer Society.
Pahlavan, K., Li, X., Mäkelä, J. (2002). Indoor Geolocation Science and Technology. IEEE Communications Magazine, febrero 2002, pp. 112-118.
Pandya, D., Jain, R., Lupu, E. (2003). Indoor Location Estimation Using Multiple Wireless Technologies. IEEE Proc. International Symposium on Personal, Indoor and Mobile Radio Communications, pp. 2208-2212, IEEE Computer Society.
Pérez, J. (2008). Integración de tecnologías inalámbricas para la localización de dispositivos móviles en interiores. Proyecto Fin de Carrera, Universidad Politécnica de Madrid, Madrid.
Pérez, J., Aparicio, S., Bernardos, A.M., Casar, J.R. (2007). An Indoor Location System based on Bluetooth and WLAN. Proc. Workshop on User-Centric Technologies and Applications, pp. 77-86. Salamanca: Madrinet.
Raja, K., Buchanan, W.J., Muñoz, J. (2004). We know where you are, IEE Communications Engineer, Vol. 2, Issue 3, pp. 34-40.
Sarkar, T.K., Ji, Z., Kim, K., Medouri, A., Salazar-Palma, M. (2003). A survey of various propagation models for mobile communications. IEEE Antennas and Propagation Magazine, Vol.. 45, No. 3, pp. 51-82.
Schilit, B.N, Theimer, M.M. (1994). Disseminating active map information to mobile hosts. IEEE Network, pp. 22-32, September/October.
Sohn, T., Griswold, W.G., Scott, J., LaMarca, A., Chawathe, Y., Smith, I. (2005). Place Lab – An Open Architecture for Location-Based Computing. ESEC/FSE.
Sun, G., Chen, J., Guo, W., Ray Lin, K.J. (2005). Signal processing techniques in network-aided positioning: a survey of state-of-the-art positioning designs, IEEE Signal Processing Magazine, Vol. 22, Is. 4, pp. 12-33.
Tam, W. K., Tran, V. N. (1995). Propagation Modelling for Indoor Wireless Communication. Electronics&Communication Engineering Journal, Octubre, pp. 221-228.
Tarrío, P., Bernardos, A.M., Besada, J.A., Casar, J.R. (2008). A New Positioning Technique for RSS-Based Localization Based on a Weighted Least Squares Estimator. 5th IEEE International Symposium on Wireless Communication Systems, aceptado para publicación. 22-24 Octubre 2008, Reykavik.
Tarrío, P., Bernardos, A.M., Casar, J.R. (2007a). A transmission rate and energy design for power aware localization in ad hoc and sensor networks. Proceedings of the 18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 5pp., IEEE Computer Society. doi: 10.1109/PIMRC.2007.4394722.
Tarrío, P., Bernardos, A.M., Casar, J.R. (2007b). An optimal strategy for power sensitive localization in ad hoc networks. Proceedings of 4th IEEE International Symposium on Wireless Communication Systems, pp. 143-147, IEEE Computer Society.
Tarrío, P., Bernardos, A.M., Casar, J.R. (2007c). An RSS localization method based on parametric channel models, Proceedings of the International Conference on Sensor Technologies and Applications, pp. 265-270, IEEE Computer Society.
Want, R., Hopper, A., Falcão, V., Gibbons, J. (1992). The Active Badge Location System. ACM Transactions on Information Systems, Vol. 10, Is. 1, pp. 91-102, Nueva York: ACM.
Want, R., Schilit, B.N., Adams, N.I., Gold, R., Petersen, K., Goldberg, D., Ellis, J.R., Weiser, M. (1995). An Overview of the ParcTab Ubiquitous Computing Environment. IEEE Personal Communications, Vol..2, No. 6, Dic. 1995, pp. 28-43.
Ward, A., Jones, A., Hopper, A. (1997). A New Location Technique for the Active Office. IEEE Personal Communications, Vol.. 4, No. 5, pp. 42-47.
Weiser, M. (1999). The computer for the 21st century. ACM SIGMOBILE Mobile Computing and Communications Review, Vol. 3, Is. 3, pp. 3 – 11, Nueva York: ACM.
Weiser, M., Gold, R., Brown, J.S. (1999). The origins of ubiquitous computing research at PARC in the late 1980s. IBM Systems Journal, Vol. 38, No. 4., IBM.
Whitehouse, K., Karlof, C., Culler, D. (2007). A Practical Evaluation of Radio Signal Strength for Ranging-based Localization. Mobile Computing and Communications Review, Vol. 11, No. 1 , 41-52.
Young, D.P., Keller, C.M., Bliss, D.W., Forsythe, K.W. (2003). Ultra-wideband (UWB) Transmitter Location Using Time Difference of Arrival (TDOA) Techniques. Conference Record of the Thirty-Seventh Asilomar Conference on Signals, Systems and Computers, Nov. 2003, Vol. 2, pp: 1225-1229. doi: 10.1109/ACSSC.2003.1292184
Workshop on Smart Environments and Ambient Intelligence (SeNAmI 2013), co-located with PerCom 2013. March 2, San Diego, U.S.A. Further information here.
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