Received Signal Strength Indicator Based Localization of Bluetooth Devices Using Trilateration: An Improved Method for the Visually Impaired People
References:
[1] World Health Organization. (2018) Visual impairment and blindness. (Online) Available: http://www.who.int/mediacentre/factsheets/fs282/en/
[2] R. G. Golledge, J. M. Loomis, R. L. Klatzky A. Flury, and X. L. Yang, “Designing a personal guidance system to aid navigation without sight: progress on the GIS component,” International Journal of Geographical Information Systems, vol. 5(4), pp. 373-395, 1991.
[3] S. Halde and A. Ghosal, “Mobility-assisted localization techniques in wireless sensor networks: issues, challenges and approaches,” Cooperative Robots and Sensor Networks, pp. 43–64, 2014.
[4] F. Pflaum, S. Erhardt, R. Weigel, and A. Koelpin, “RSSI-based localization with minimal infrastructure using multivariate statistic techniques,” in Proc. of IEEE Topical Conference on Wireless Sensors and Sensor Networks, 2017, p. 69-72.
[5] R. Kowalik and S. Kwasniewski, “Navigator: A Talking GPS Receiver for the Blind,” Lecture Notes in Computer Science, Computers Helping People with Special Needs, vol. 3118, pp. 446-449, 2004.
[6] J. Loomis, R. Golledge, and R. Klatzky, “GPS-based navigation systems for the visually impaired,” in Fundamentals of Wearable Computers and Augmented Reality, W. Barfield and T. Caudell Eds, pp. 429-446, 2001.
[7] Q. Wang, I. Balasingham, M. Zhang, and X. Huang, “Improving RSS-Based Ranging in LOS-NLOS Scenario Using GMMs,” IEEE Communications Letters, vol. 15(10), pp. 1065–1067, 2011.
[8] Z. Farid, R. Nordin, and M. Ismail, “Recent advances in wireless indoor localization techniques and system,” Journal of Computer Networks and Communications, doi: 10.1155/2013/185138, 2013.
[9] Dabrowski A, Kardys P, Marciniak T (2005) Bluetooth technology applications dedicated to supporting blind and hearing as well as speech handicapped people. In ELMAR 47th International Symposium: 295–298.
[10] Kriz P, Maly F, Kozel T (2016) Improving indoor localization using Bluetooth low energy beacons. Mobile Information Systems, doi: 10.1155/2016/2083094.
[11] Altini M, Brunelli D, Farella E, Benini L (2010) Bluetooth indoor localization with multiple neural networks. 5th IEEE International Symposium on Wireless Pervasive Computing, doi: 10.1109/ISWPC.2010.5483748.
[12] H. Chen and K. Lin, “An improved method for free-space antenna-factor measurement by using the MUSIC algorithm,” IEEE Transactions on Electromagnetic Compatibility, vol. 53(2), pp. 274–282, 2011.
[13] K. Agarwal and X. Chen, “Applicability of MUSIC-type imaging in two-dimensional electromagnetic inverse problems,” IEEE Transactions on Antennas Propagation, vol. 56(10), pp. 3217–3223, 2008.
[14] V. Beamspace, K. T. Wong, and M. D. Zoltowski, “Self-initiating MUSIC-based direction finding in underwater acoustic particle,” IEEE Journal of Oceanic Engineering, vol. 25(2), pp. 262–273, 2000.
[15] S. Henault, Y. M. M. Antar, S. Rajan, R. Inkol, and S. Wang, “Impact of mutual coupling on wideband Adcock direction finders,” Canadian conference on Electrical and Computer Engineering, doi: 10.1109/CCECE.2008.4564755, 2008.
[16] M. Ibrahim and M. Youssef, “CellSense: An accurate energy-efficient GSM positioning system,” IEEE Transactions on Vehicular Technology, vol. 61(1), pp. 286–296, 2012.
[17] K. Wu, J. Xiao, S. Member, Y. Yi, and D. Chen, “CSI-based indoor localization,” IEEE Transactions on Parallel and Distributed Systems, vol. 24(7), pp. 1300–1309, 2013.
[18] P. K. Sahu, E. H. K. Wu, and J. Sahoo, “DuRT: Dual RSSI trend-based localization for wireless sensor networks,” IEEE Sensors Journal, vol. 13(8), pp. 3115–3123, 2013.
[19] Y. Chen, D. Lymberopoulos, J. Liu, B. Priyantha, “Indoor localization using FM signals,” IEEE Transactions on Mobile Computing, vol. 12(8), pp. 1502–1517, 2013.
[20] J. J. M. Diaz, R. D. A. Mau, R. B. Soares, E. F. Nakamura, and C. M. S. Figueiredo, “Bluepass: an indoor Bluetooth-based localization system for mobile applications,” IEEE Symposium on Computers and Communications, doi: 10.1109/ISCC.2010.5546506, 2010.
[21] A. K. M. M. Hossain and W. S. Soh, “A comprehensive study of bluetooth signal parameters for localization,” IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications, doi: 10.1109/PIMRC.2007.4394215, 2007.
[22] S. Feldmann, K. Kyamakya, A. Zapater, and Z. Lue, “An indoor Bluetooth-based positioning system: concept, implementation and experimental evaluation,” in International Conference on Wireless Networks, pp. 109–113, 2003.
[23] M. Altini, D. Brunelli, E. Farella, and L. Benini, “Bluetooth indoor localization with multiple neural networks,” 5th IEEE International Symposium on Wireless Pervasive Computing, doi: 10.1109/ISWPC.2010.5483748, 2010.
[24] D. Li and J. Wang, “Research of indoor local positioning based on Bluetooth technology,” in 5th International Conference on Wireless Communications, Networking and Mobile Computing, doi: 10.1109/WICOM.2009.5302300, 2009.
[25] S. Bohonos, A. Lee, A. Malik, C. Thai, and R. Manduchi, “Universal real-time navigational assistance (URNA): an urban bluetooth beacon for the blind,” in Proc. of the 1st ACM SIGMOBILE international workshop on Systems and networking support for healthcare and assisted living environments, pp. 83–88, 2007.
[26] X. Liu, H. Makino, S. Kobayashi, and Y. Maeda, “Design of an Indoor Self-Positioning System for the Visually Impaired-Simulation with RFID and Bluetooth in a Visible Light Communication System,” in Engineering in Medicine and Biology Society, EMBS, 29th Annual International Conference of the IEEE, pp. 1655–1658, 2007.