Abstract
This work proposes a novel Integrated Heterogeneous Infrastructure for Indoor Positioning (IHIIP) with a low-energy Bluetooth beacon to obtain positioning data. This study defines the fuzzy area of subspace selection to improve the indoor positioning accuracy. This study proposed a novel threshold mechanisms are used to select the signal transmitter for positioning and thus improve current positioning accuracy of indoor environment. The IHIIP outperforms both Wi-Fi Access Point (AP) and Beacon in that it provides greater positioning accuracy. Experimental results demonstrate that the mean error distance is 1.29 m only using Wi-Fi AP, 1.33 m only using Beacon and 1.21 m in the proposed IHIIP for indoor positioning.
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References
Geng, Y., He, J., Deng, H., Pahlavan, K.: Modeling the effect of human body on TOA ranging for indoor human tracking with wrist mounted sensor. In: Proceedings of the International Symposium on Wireless Personal Multimedia Communications, pp. 1–6 (2013)
Wahab, A.A., Khattab, A., Fahmy, Y.A.: Two-way TOA with limited dead reckoning for GPS-free vehicle localization using single RSU. In: Proceedings of the International Conference on ITS Telecommunications, pp. 244–249 (2013)
Kaune, R.: Accuracy studies for TDOA and TOA localization. In: Proceedings of the International Conference on Information Fusion, pp. 408–415 (2012)
Yoon, J.Y., Kim, J.W., Lee, W.H., Eom, D.S.: A TDOA-based localization using precise time-synchronization. In: Proceedings of the International Conference on Advanced Communication Technology, pp. 1266–1271 (2012)
Uebayashi, S., Shimizu, M., Fujiwara, T.: A study of TDOA positioning using UWB reflected waves. In: Proceedings of the IEEE Vehicular Technology Conference, pp. 1–5 (2013)
Jiang, J.R., Lin, C.M., Lin, F.Y., Huang, S.T.: ALRD: AOA localization with RSSI differences of directional antennas for wireless sensor networks. In: Proceedings of the International Conference on Information Society, pp. 304–309 (2012)
Muswieck, B.D.S., Russi, J.L., Heckler, M.V.T.: Hybrid method uses RSS and AoA to establish a low-cost localization system. In: Proceedings of the Argentine Symposium and Conference on Embedded Systems, pp. 1–6 (2013)
Shuo, S., Hao, S., Yang, S.: Design of an experimental indoor position system based on RSSI. In: Proceedings of the International Conference on Information Science and Engineering, pp. 1989–1992 (2010)
Atia, M.M., Noureldin, A., Korenberg, M.J.: Dynamic propagation modeling for mobile users’ position and heading estimation in wireless local area networks. IEEE Wirel. Commun. Lett. 1, 101–104 (2012)
Alamri, S., Taniar, D., Safar, M.: Indexing moving objects in indoor cellular space. In: Proceedings of the International Conference on Network-Based Information Systems, pp. 38–44 (2012)
Li, G., Busch, C., Yang, B.: A novel approach used for measuring fingerprint orientation of arch fingerprint. In: Proceedings of the International Convention on Information and Communication Technology, Electronics and Microelectronics, pp. 1309–1314 (2014)
Zanganeh, O., Srinivasan, B., Bhattacharjee, N.: Partial fingerprint matching through region-based similarity. In: Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, pp. 1–8 (2014)
Müller, C., Alves, D.I., Uchôa-Filho, B.F., Machado, R., Oliveira, L.L., Martins, J.B.S.: Improved solution for node location multilateration algorithms in wireless sensor networks. IET J. Mag. 52(13), 1179–1181 (2016)
Gu, Y., Chen, M., Ren, F., Li. J.: HED: handling environmental dynamics in indoor WiFi fingerprint localization. In: Proceedings of the IEEE Wireless Communications and Networking Conference, pp. 1–6 (2016)
Acknowledgments
Authors thank for financial supports of the Ministry of Science and Technology, Tawan under contract MOST 105-2221-E-011 -078 -MY3 and 105-2221-E-011 -076-MY3.
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Ma, YW., Chen, JL., Tsai, YH., Chou, PC., Lu, SK., Kuo, SY. (2016). Integrated Heterogeneous Infrastructure for Indoor Positioning. In: Wang, G., Ray, I., Alcaraz Calero, J., Thampi, S. (eds) Security, Privacy and Anonymity in Computation, Communication and Storage. SpaCCS 2016. Lecture Notes in Computer Science(), vol 10067. Springer, Cham. https://doi.org/10.1007/978-3-319-49145-5_25
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DOI: https://doi.org/10.1007/978-3-319-49145-5_25
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