Determination of Location in the Wi-Fi Network Using the Taxometric Method of Decision-Making

One of the main goals for developers of local positioning systems is to ensure that their framework can be deployed in any possible place. The challenge is that the indoor network infrastructure often is planned to suit the purpose of Internet access provision for all the users, but not to determine the locations of said users. The most commonly used geopositioning methods require additional adjustments to the existing network, whether it is rearranging or adding new Wi-Fi access points. Another approach is statistical analysis and decision-making based on previously obtained data. In this article, the taxometric method of rating the probability of finding a user in a particular room is considered and the work of the engineered software for the implementation of this method is demonstrated. The results presented in the article show that it is possible to use the taxometric decision-making method for Wi-Fi networks that were built for accessing the Internet, but were not optimized for positioning. In this regard, in most rooms it is possible to ensure the accuracy of location determination up to 10 meters.