NRLoc: Neighbor Relative RSS-Based Indoor Localization System

The popularity of smartphones has fostered a growing interest in Location Based Service (LBS). While indoor location information is imperative for the realization of mobile LBS applications, recently research on indoor localization systems that rely on received signal strength (RSS) fingerprint has been attracting much attention. In this paper, we propose a novel approach which utilizes the “neighbor relative” RSS(NR-RSS) to search the fingerprint database for positioning. Our proposed scheme can realize calibration-free positioning access different devices. With the assistance of NR-RSS, adjusted by directions, our efficient scheme can dampen the unpredictable signal fluctuation problem in indoor environment. We evaluated the proposed method in realistic environment and the results showed that our system could achieve a relative high level of accuracy where the device heterogeneity and Wi-Fi signals fluctuation problem exists.

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