An AP Selection with RSS Standard Deviation for Indoor Positioning in Wi-Fi

This paper presents an AP selection for indoor positioning based on Wi-Fi received signal strength (RSS), which is a low cost and easy-accessible technique. However, the RSS are changeable over time by multipath effect, which may affect the accuracy of positioning. First, the system uses the box plot to remove the outlier of the RSS samples from APs to smooth the RSS. Then, the standard deviation is used to analysis the variation of RSS, and selects the Top-N APs having less interference for location estimation. We will use simulations to further verify the positioning accuracy and efficiency of the proposed strategy, but also look forward to apply on related positioning services.