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      RSSI based adaptive indoor location tracker

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            Author and article information

            Contributors
            (View ORCID Profile)
            Journal
            Scientific Phone Apps and Mobile Devices
            Sci Phone Appl Mob Devices
            Springer Science and Business Media LLC
            2364-4958
            December 2017
            June 19 2017
            December 2017
            : 3
            : 1
            Article
            10.1186/s41070-017-0015-z
            8439ae66-4bb5-44f7-96e3-df75b323a138
            © 2017

            http://creativecommons.org/licenses/by/4.0

            History

            Software engineering,Applied computer science,General engineering,Artificial intelligence,General computer science

            References

            1. Bahl, P, Padmanabhan VN. 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. IEEE Vol. 2. Tel Aviv: IEEE: 2000. p. 775–84.

            2. Bianchi, G, Melazzi NB, Piccolo FL. Impact of chosen error criteria in RSS-based localization: Power vs distance vs relative distance error minimization. In: Computers and Communications, 2007. ISCC 2007. 12th IEEE Symposium on MW-9. Las Vegas: IEEE: 2007.

            3. Chuenurajit, T, Suroso D, Cherntanomwong P. Implementation of RSSI-Based 3D indoor localization using wireless sensor networks based on ZigBee standard. J Inf Sci Technol. 2012; 3(2):1–6.

            4. Kotanen, A, Hännikäinen M, Leppäkoski H, Hämäläinen TD. Positioning with IEEE 802.11b Wireless LAN In: Gong, K, Niu Z, editors. Personal, Indoor and Mobile Radio Communications, 2003. PIMRC 2003. 14th IEEE Proceedings on. Beijing: IEEE: 2003. p. 2218–22.

            5. Liu, H, Darabi H, Banerjee P, Liu J. Survey of wireless indoor positioning techniques and systems. IEEE Trans Syst Man Cybernet Part C (Appl Rev). 2007; 37(6):1067–80.

            6. Masuoka, R, Avancha S, Thakkar S, Agre J. U.S. Patent No. 7,751,829. Washington, DC: U.S. Patent and Trademark Office; 2010.

            7. Paul, AS, Wan EA. RSSI-based indoor localization and tracking using sigma-point Kalman smoothers. IEEE J Selected Topics Signal Process. 2009; 3(5):860–73.

            8. Robinson, M, Psaromiligkos I. Received signal strength based location estimation of a wireless LAN client. In: Wireless Communications and Networking Conference, 2005 IEEE Vol. 4. New Orleans: IEEE: 2005. p. 2350–4.

            9. Sayed, AH, Tarighat A, Khajehnouri N. Network-based wireless location: challenges faced in developing techniques for accurate wireless location information. IEEE Signal Process Mag. 2005; 22(4):24–40.

            10. Wang, X, Bischoff O, Laur R, Paul S. Localization in wireless ad-hoc sensor networks using multilateration with RSSI for logistic applications. Procedia Chem. 2009; 1(1):461–4.

            11. Wei, J, Ji Y, Yu C. Improvement of Software Defined Radio based RSSI localization with bias reduction. IFAC Proc. 2014; 47(3):7164–9.

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