The International Conference on Information Networking 2014 (ICOIN2014) (2013)
Jan. 28, 2013 to Jan. 30, 2013
C. Koweerawong , Sirindhorn Int. Inst. of Technol., Thammasat Univ., Pathumthani, Thailand
K. Wipusitwarakun , Sirindhorn Int. Inst. of Technol., Thammasat Univ., Pathumthani, Thailand
K. Kaemarungsi , Nat. Electron. & Comput. Technol. Center (NECTEC), Embedded Syst. Technol. Lab. (EST), Pathumthani, Thailand
In location fingerprinting based indoor positioning system, received signal strength (RSS) indications from a set of Wi-Fi access points are used as a unique fingerprint to identify a specific location. However these RSS fingerprints may become outdated when there are unanticipated environmental changes. Re-measuring RSS fingerprints for all locations to maintain an up-to-date RSS database incurs high operational cost, which is impractical in dynamically changed environment. In this paper, we propose a method to estimate the RSS fingerprint of a specific location from a set of neighboring re-measured RSS fingerprints, called “feedbacks”. The proposed method searches for new feedbacks and some necessary old RSS fingerprints in the cut-off area and then applies plane-interpolation to calculate the new RSS fingerprint for a specific location. Based on simulation results, about 5% of re-measured RSS feedbacks are required to satisfy 80% of positioning correctness in the simulated 30×30 m2 area.
Fingerprint recognition, Databases, Estimation, Fading, Adaptation models, Adaptive systems, Interpolation,feedback, Location estimation, Wi-Fi fingerprint, adaptive RSS fingerprint, plane-interpolation
C. Koweerawong, K. Wipusitwarakun, K. Kaemarungsi, "Indoor localization improvement via adaptive RSS fingerprinting database", The International Conference on Information Networking 2014 (ICOIN2014), vol. 00, no. , pp. 412-416, 2013, doi:10.1109/ICOIN.2013.6496414