Indoor Positioning System Based on Fuzzy Logic and WLAN Infrastructure.

Jaromir Hrad,Marek Neruda,Filip Benes,Jiri Svub,Pavel Stasa,Lukas Vojtech,Martin Cihlar

doi:10.3390/s20164490

Abstract

This paper deals with the issue of mobile device localization in the environment of buildings, which is suitable for use in healthcare or crisis management. The developed localization system is based on wireless Local Area Network (LAN) infrastructure (commonly referred to as Wi-Fi), evaluating signal strength from different access points, using the fingerprinting method for localization. The most serious problems consist in multipath signal propagation and the different sensitivities (calibration) of Wi-Fi adapters installed in different mobile devices. To solve these issues, an algorithm based on fuzzy logic is proposed to optimize the localization performance. The localization system consists of five elements, which are mobile applications for Android OS, a fuzzy derivation model, and a web surveillance environment for displaying the localization results. All of these elements use a database and shared storage on a virtualized server running Ubuntu. The developed system is implemented in Java for Android-based mobile devices and successfully tested. The average accuracy is satisfactory for determining the position of a client device on the level of rooms.

Highlights

There are many situations that require a more or less precise localization of mobile units—from applications in military to healthcare, from storage management to road navigation—each of them having specific conditions and requirements.The hospital environment is the most common example used to illustrate the issue of indoor localization
The highest level could have the highest weight in the calculation itself
Method for scanning values the specific be concluded that, in a standard environment where rooms are normally separated by partitions and access points was utilized, and so all were equal to each other and all affected the successfulness in the doors, the localization system is able to derive the position of the device far better than in an open same way

Summary

Introduction

The hospital environment is the most common example used to illustrate the issue of indoor localization. A hospital complex is generally a large and structured area where a patient or hospital equipment needs to be localized. This could mean that, for a specific building, the positions of all present persons are recorded. In case of an accident (e.g., fire), the rescue team can use the latest localization data to predict how many people are inside the building and where these people were located when the fire broke out. The demands for the deployment of an indoor localization system is constantly increasing.

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