Indoor navigation systems based on data mining techniques in internet of things: a survey

Author:

Sattarian Mahbubeh,Rezazadeh JavadORCID,Farahbakhsh Reza,Bagheri Alireza

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Reference109 articles.

1. Thibaud, M., Chi, H., Zhou, W., & Piramuthu, S. (2018). Internet of things (iot) in high-risk environment, health and safety (ehs) industries: A comprehensive review, Decision Support Systems.

2. Kumar, P. M., Gandhi, U., Varatharajan, R., Manogaran, G., Jidhesh, R., & Vadivel, T. (2017). Intelligent face recognition and navigation system using neural learning for smart security in internet of things, Cluster Computing, pp. 1–12.

3. Shu, Y., Shin, K. G., He, T., & Chen, J. (2015). Last-mile navigation using smartphones, In Proceedings of the 21st annual international conference on mobile computing and networking, ser. MobiCom ’15. New York, NY, USA: ACM, 2015, pp. 512–524. [Online]. Available: https://doi.org/10.1145/2789168.2790099

4. Xiao, Z., Wen, H., Markham, A., & Trigoni, N. (2014). Lightweight map matching for indoor localisation using conditional random fields, In Proceedings of the 13th international symposium on information processing in sensor networks, ser. IPSN ’14. Piscataway, NJ, USA: IEEE Press, 2014, pp. 131–142. [Online]. Available: http://dl.acm.org/citation.cfm?id=2602339.2602355

5. Farahzadi, A., Shams, P., Rezazadeh, J., & Farahbakhsh, R. (2017). Middleware technologies for cloud of things-a survey.Digital Communications and Networks, Elsevier.

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