Abstract
Wi-Fi based Indoor Localization is commonly used in pervasive systems due to its ease of use and relatively low cost. In recent times, IEEE 802.11n is gaining more attention due to the operation of devices in dual band (2.4 GHz and 5 GHz) simultaneously. However the utility of dual band in Wi-Fi indoor localization is still a subject of study and has not been widely implemented. The focus of this paper is to evaluate the feasibility of using both these bands by comparing their indoor localization performance using fingerprinting techniques in a real indoor environment. The effects of interference and localization accuracy are the subject of the experimental study. Based on the study, we propose intelligent policies which effectively utilize the advantages of both the bands. Our experiments and analysis have demonstrated the effectiveness of our policies in improving the accuracy of indoor localization.
This work has been funded in part by DST(India) grant DyNo. 100/IFD/2764/2012-2013.
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References
Eltaher, A., Kaiser, T.: A novel approach based on UWB beamforming for indoor positioning in non-line-of-sight environments. In: Proceedings of RadioTeCc 2005 (2005)
Liu, H., Darabi, H., Banerjee, P., Liu, J.: Survey of wireless indoor positioning techniques and systems. IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. 37(6), 1067–1080 (2007)
Del Mundo, L.B., Ansay, R.L.D., Festin, C.A.M., Ocampo, R.M.: A comparison of wireless fidelity (wi-fi) fingerprinting techniques. In: 2011 International Conference on ICT Convergence (ICTC), pp. 20–25, Sept 2011
Yin, J., Yang, Q., Ni, L.M.: Learning adaptive temporal radio maps for signal-strength-based location estimation. IEEE Trans. Mobile Comput. 7(7), 869–883 (2008)
Abu-Sharkh, O.M.F., Al-hamad, A.M., Abdelrahim, T.M., Akour, M.H.: Dynamic multi-band allocation scheme for a stand-alone wireless access point. In: 2012 26th Biennial Symposium on Communications (QBSC), pp. 168–173, May 2012
Marina, M.K., Farshad, A., Li, J., Garcia, F.J.: A microscopic look at wifi fingerprinting for indoor mobile phone localization in diverse environments. In: 2013 International Conference on Indoor Positioning and Indoor Navigation (2013)
Bahl, P., Padmanabhan, V.N.: Radar: an in-building rf-based user location and tracking system. In: INFOCOM 2000, Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies, Proceedings, vol. 2, pp. 775–784. IEEE (2000)
Brunato, M., Battiti, R.: Statistical learning theory for location fingerprinting in wireless LANs. Comput. Netw. 47(6), 825–845 (2005)
Farid, Z., Nordin, R., Ismail, M.: Recent advances in wireless indoor localization techniques and system. J. Comput. Netw. Commun. 2013, 12 p. (2013)
Roxin, A., Gaber, J., Wack, M., Nait-Sidi-Moh, A.: Survey of wireless geolocation techniques. In: 2007 IEEE Globecom Workshops, pp. 1–9 (2007)
Daiya, V., Ebenezer, J., Murty, S.A.V.S., Raj, B.: Experimental analysis of rssi for distance and position estimation. In: 2011 International Conference on Recent Trends in Information Technology (ICRTIT), pp. 1093–1098, June 2011
Jiang, J.-A., Zheng, X.-Y., Chen, Y.F., Wang, C.-H., Chen, P.-T., Chuang, C.-L., Chen, C.-P.: A distributed rss-based localization using a dynamic circle expanding mechanism. IEEE Sensors J. 13(10), 3754–3766 (2013)
Lui, G., Gallagher, T., Li, B., Dempster, A.G., Rizos, C.: Differences in rssi readings made by different wi-fi chipsets: A limitation of wlan localization. In: 2011 International Conference on Localization and GNSS (ICL-GNSS), pp. 53–57, June 2011
Khun-Jush, J., Schramm, P., Malmgren, G., Torsner, J.: Hiperlan2: Broadband wireless communications at 5 ghz. IEEE Commun. Mag. 40(6), 130–136 (2002)
Sendra, S., Lloret, J., Turro, C., Aguiar, J.: IEEE 802.11a/b/g/n short-scale indoor wireless sensor placement. IJAHUC 15(1/2/3), 68–82 (2014)
Aparicio, S., Perez, J., Bernardos, A.M., Casar, J.R.: A fusion method based on bluetooth and wlan technologies for indoor location. In: IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2008, MFI 2008, pp. 487–491, Aug 2008
Papapostolou, A., Chaouchi, H.: Exploiting multi-modality and diversity for localization enhancement: Wifi & rfid usecase. In: 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications, pp. 1903–1907, Sept 2009
Sertthin, C., Fujii, T., Nakagawa, M.: Multiband received signal strength fingerprint based location system. In: 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications, pp. 1893–1897, Sept 2009
Kaemarungsi, K., Krishnamurthy, P.: Analysis of wlans received signal strength indication for indoor location fingerprinting. Pervasive Mobile Comput. 8(2), 292–316 (2012). Special Issue: Wide-Scale Vehicular Sensor Networks and Mobile Sensing
Wi-fi location-based services 4.1 design guide. White Paper: Cisco Systems Inc (2008)
Bahl, P., Adya, A., Padhye, J., Walman, A.: Reconsidering wireless systems with multiple radios. ACM SIGCOMM Comput. Commun. Rev. 34(5), 39–46 (2004)
Marques, N., Meneses, F., Moreira, A.: Combining similarity functions and majority rules for multi-building, multi-floor, wifi positioning. In: 2012 International Conference on Indoor Positioning and Indoor Navigation (IPIN), pp. 1–9, Nov 2012
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Shanmugaapriyan, P., Chitra, H., Aiswarya, E., Balasubramanian, V., Ashok Kumar, S. (2015). A Pragmatic Approach for Effective Indoor Localization Using IEEE 802.11n. In: Garcia Pineda, M., Lloret, J., Papavassiliou, S., Ruehrup, S., Westphall, C. (eds) Ad-hoc Networks and Wireless. ADHOC-NOW 2014. Lecture Notes in Computer Science(), vol 8629. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46338-3_17
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DOI: https://doi.org/10.1007/978-3-662-46338-3_17
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