Real Time Indoor Tracking System using Smartphones and Wi-Fi Technology (original) (raw)

Finding indoor position of person using wi-fi & smartphone:A survey

Positioning system can be used for different purposes and for different services, so a lot of research is going on to find a more accurate position with low error techniques with good results. The Positioning techniques have been actively studied recently due to service as well as safety and security matters. Global Positioning System (GPS) is more widely used for outdoor but GPS is not suitable for indoor . There are many localization systems with different architectures, configurations, accuracies and reliabilities Wi-Fi Positioning system (WPS) solves this problem. Here we find out position with the help of Wi-Fi signal strength. We also discuss location fingerprinting in detail since it is used in most current system or solutions. A small program installed on to calculate the position. This will help in many applications for mobile users and network administrators. It will make use of existing Wi-Fi infrastructure, although Wi-Fi system was never designed to find out the location. The smart device regularly scans the signal strengths for surrounding Wi-Fi access points and send information to a central server. This paper try to survey the recent work related to indoor positioning system.

WiFi Based Indoor Navigation System for Closed Buildings Using Smart Phones

International Journal of Engineering and Manufacturing, 2021

The easy access and availability of wireless technologies and mobile computing and the internet have led to new opportunities in developing mobile applications whose purpose is to make people’s life easier. Nowadays, a person can possess more than one mobile device intended for different usage such as communication, entertainment, office work. This GPS (Global Positioning System) is one of the equipment that helps to find the way to reach the destination from the source. The use of GPS as a tool to determine the location of course has a shortage when used indoors such as Shopping Malls, Hotels, College, etc. Our project is a small attempt towards an affordable and efficient indoor navigation system in which users need to turn on mobile Wi-Fi and scan the available Wi-Fi network and its strength. If the WiFi with maximum strength is found then application will show the current location then the user can select the destination from the available options. Due to this application will s...

Indoor Localization Method Based on Wi-Fi Trilateration Technique

—This paper describes a Wi-Fi trilateration method for indoor localization using Android-based mobile device. Approaches based on signal propagation model and received signal strength measurement collection are considered. The indoor signal propagation problem is resolved by received signal strength measurement collection that improves localization accuracy. Indoor positioning technique opens possibilities for development various intelligent systems that provide the user location-based information inside buildings. These systems include positioning functionality based on such technologies as Wi-Fi, Bluetooth, and GSM.

Indoor Localization Algorithm For Smartphones

Increasing sources of sensor measurements and prior knowledge have become available for indoor localization on smartphones. How to effectively utilize these sources for enhancing localization accuracy is an important yet challenging problem. In this paper, we present an area state-aided localization algorithm that exploits various sources of information. Specifically, we introduce the concept of area state to indicate the area where the user is on an indoor map. The position of the user is then estimated using inertial measurement unit (IMU) measurements with the aid of area states. The area states are in turn updated based on the position estimates. To avoid accumulated errors of IMU measurements, our algorithm uses WiFi received signal strength indicator (RSSI) to indicate the vicinity of the user to the routers. The experiment results show that our system can achieve satisfactory localization accuracy in a typical indoor environment.

A new method for improving Wi-Fi-based indoor positioning accuracy

Wi-Fi and smartphone based positioning technologies are play-ing a more and more important role in Location Based Service (LBS) industries due to the rapid development of the smartphone market. However, the low positioning accuracy of these technologies is still an issue for indoor positioning. To ad-dress this problem, a new method for improving the indoor posi-tioning accuracy was developed. The new method initially used the Nearest Neighbor (NN) algorithm of the fingerprinting meth-od to identify the initial position estimate of the smartphone us-er. Then two distance correction values in two roughly perpen-dicular directions were calculated by the path loss model based on the two signal strength indicator (RSSI) values observed. The errors from the path loss model were eliminated by differencing two model-derived distances from the same access point. The new method was tested and the results compared and assessed against that of the commercial Ekahau RTLS system and the NN algorithm. The preliminary results showed that the positioning accuracy has been improved consistently after the new method was applied and the root mean square accuracy improved to 3.3 m from 3.8 m compared with the NN algorithm.