A WLAN Access Point Localization Algorithm Based on Probability Density

The Access Point (AP) in Wireless Local Area Network (WLAN) can be localized. In this paper, an AP Localization algorithm based on the Probability Density (PDAPL) is proposed. First, the region is portioned into several cells. Then, the probability of each cell is calculated according to the receive signal strength from the directional antenna in different locations and different angles, and a probability statistical table is constructed. Finally, the location of AP is assessed. Experiment results demonstrate that the proposed algorithm does not require a lot of data and can obtain relative high accuracy with a small number of measurement points and angles. Compared with DrivebyLoc, Distance, and AoA, half of or fewer measurement points and angles are needed in the case of the same accuracy with PDAPL. And for the same measurement points and angles, the accuracy of PDAPL is improved about 50% compared with DrivebyLoc.