Experimental comparison of bluetooth and wifi signal propagation for indoor localisation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7277 LNCS, Issue , 2012, Pages 126-137

  Dimitrova, Desislava C ^a   Alyafawi, Islam ^a   Braun, Torsten ^a  

^a UNIVERSITY OF BERN   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

DEVICE CHARACTERISTICS; EXPERIMENTAL COMPARISON; GEOGRAPHIC COORDINATES; INDOOR POSITIONING; INDOOR RADIO CHANNEL; LOCALISATION; MARKET OPPORTUNITIES; POSITIONING ALGORITHMS; RADIO BANDS; RADIO SIGNALS; RADIO TECHNOLOGIES; SIGNAL PROPAGATION; TECHNICAL FACTORS; WI-FI SIGNALS;

ALGORITHMS; COMMUNICATION CHANNELS (INFORMATION THEORY); RADIO; WI-FI;

BLUETOOTH;

EID: 84861685896     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-30630-3_11     Document Type: Conference Paper

References (23)

1. Ahmed, I., Orfali, S., Khattab, T., Mohamed, A.: Characterization of the indoor-outdoor radio propagation channel at 2.4 ghz. In: 2011 IEEE GCC Conference and Exhibition (GCC), pp. 605-608 (February 2011)
2. Akl, R., Tummala, D., Li, X.: Indoor propagation modeling at 2.4 ghz for IEEE 802.11 networks. In: Sixth IASTED International Multi-Conference on Wireless and Optical Communications. IASTED/ACTA Press (2006)
3. Bargh, M.S., de Groote, R.: Indoor localization based on response rate of Bluetooth inquiries. In: Proc. of 1st ACM International Workshop on Mobile Entity Localization and Tracking in GPS-less Environments, MELT 2008, pp. 49-54. ACM (2008)
4. Bose, A., Foh, C.H.: A practical path loss model for indoor wifi positioning enhancement. In: 2007 6th International Conference on Information, Communications Signal Processing, pp. 1-5 (2007)
5. Byoung-Suk, C., Joon-Woo, L., Ju-Jang, L., Kyoung-Taik, P.: Distributed sensor network based on RFID system for localization of multiple mobile agents. In: Wireless Sensor Network, vol. 3-1, pp. 1-9. Scientific Research (2011)
6. Cherukuri, J.: Comparative study of stochastic indoor propagation models. Technical report, The University of North Carolina at Charlotte (2004)
7. Ciurana, M., Barceló-Arroyo, F., Cugno, S.: A robust to multi-path ranging technique over IEEE 802.11 networks. Wireless Networks 16, 943-953 (2010)
8. Fang, S.-H., Lin, T.-N.: Projection-based location system via multiple discriminant analysis in wireless local area networks. IEEE Transactions on Vehicular Technology 58(9), 5009-5019 (2009)
9. Fuchs, C., Aschenbruck, N., Martini, P., Wieneke, M.: Indoor tracking for mission critical scenarios: A survey. Pervasive Mobile Computing 7, 1-15 (2011)
10. Gezici, S., Zhi, T., Giannakis, G.B., Kobayashi, H., Molisch, A.F., Poor, H.V., Sahinoglu, Z.: Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks. IEEE Signal Processing Magazine 22(4), 70-84 (2005)
11. Gwon, Y., et al.: Robust indoor location estimation of stationary and mobile users (2004)
12. Haeberlen, A., Flannery, E., Ladd, A.M., Rudys, A., Wallach, D.S., Kavraki, L.E.: Practical robust localization over large-scale 802.11 wireless networks. In: Proc. of 10th Annual International Conference on Mobile Computing and Networking, MobiCom 2004, pp. 70-84. ACM (2004)
13. Hashemi, H.: The indoor radio propagation channel. Proceedings of the IEEE 81(7), 943-968 (1993)
14. Hay, S., Harle, R.: Bluetooth Tracking without Discoverability. In: Choudhury, T., Quigley, A., Strang, T., Suginuma, K. (eds.) LoCA 2009. LNCS, vol. 5561, pp. 120-137. Springer, Heidelberg (2009)
15. https://www.bluetooth.org/Technical/Specifications/adopted.html
16. http://www.cl.cam.ac.uk/research/dtg/attarchive/bat/
17. Kotanen, A., Hannikainen, M., Leppakoski, H., Hamalainen, T.D.: Experiments on local positioning with bluetooth. In: International Conference on Information Technology: Coding and Computing [Computers and Communications], pp. 297-303 (2003)
18. Liu, H., Darabi, H., Banerjee, P.: A new rapid sensor deployment approach for first responders. Intelligent Control and Systems 10(2), 131-142 (2005)
19. Mahtab Hossain, A.K.M., Nguyen Van, H., Jin, Y., Soh, W.S.: Indoor localization using multiple wireless technologies. In: Proc. of Mobile Adhoc and Sensor Systems, MASS 2007, pp. 1-8 (2007)
20. Martin-Escalona, I., Barcelo-Arroyo, F.: A new time-based algorithm for positioning mobile terminals in wireless networks. Journal on Advances in Signal Processing, EURASIP (2008)
21. Perez-Vega, C., Garcia, J.L., Lopez Higuera, J.M.: A simple and efficient model for indoor path-loss prediction, vol. 8, p. 1166 (1997)
22. Want, R., Hopper, A., Falcão, V., Gibbons, J.: The active badge location system. ACM Trans. Inf. Syst. 10, 91-102 (1992)
23. Zhang, G., Krishnan, S., Chin, F., Ko, C.C.: UWB multicell indoor localization experiment system with adaptive TDOA combination. In: IEEE 68th Vehicular Technology Conference, VTC 2008-Fall, pp. 1-5 (2008)