scholarly journals STATISTICAL ANALYSIS OF WSN BASED INDOOR POSITIONING LOCALIZATION SCHEMES WITH KALMAN FILTERING

2012 ◽  
pp. 36-41
Author(s):  
A.MOHAMED RIAS ◽  
R.SAMBATH KUMAR ◽  
G.SATHISH KUMAR ◽  
A. SIVAGAMI
Keyword(s):  
Sensor Network ◽  
Indoor Positioning ◽  
Positioning System ◽  
Shopping Malls ◽  
Network Localization ◽  
Real Time Tracking ◽  
The Impact ◽  
Indoor Positioning System ◽  
Tracking Of Humans ◽  
Installation Cost

Wireless Sensor Network (WSN) is used for determining the Indoor Positioning of objects and persons since recent years. WSN has been implemented in indoor positioning applications such as real time tracking of humans/objects, patient monitoring in health care, navigation, warehouses for inventory monitoring, shopping malls, etc. But one of the problems while implementing WSN in Indoor positioning system is to ensure more coverage large number of sensors must be deployed which increases the installation cost. So in this paper, we have used MATLAB GUI named Sensor Network Localization Explorer to analyze the impact of node density on indoor positioning localization schemes. Later we have integrated the Kalman filter with the indoor positioning system to increase the reliability and reduce the localization error of the system with lesser number of nodes.

scholarly journals A Clustering-Based Approach for Improving the Accuracy of UWB Sensor-Based Indoor Positioning System

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Taner Arsan ◽  
Mohammed Muwafaq Noori Hameez
Keyword(s):  
Kalman Filter ◽  
Mean Shift ◽  
Indoor Positioning ◽  
Optimal Number ◽  
Ultra Wideband ◽  
Positioning System ◽  
Indoor Location ◽  
Test Points ◽  
The Impact ◽  
Indoor Positioning System

There are several methods which can be used to locate an object or people in an indoor location. Ultra-wideband (UWB) is a specifically promising indoor positioning technology because of its high accuracy, resistance to interference, and better penetration. This study aims to improve the accuracy of the UWB sensor-based indoor positioning system. To achieve that, the proposed system is trained by using the K-means algorithm with an additional average silhouette method. This helps us to define the optimal number of clusters to be used by the K-means algorithm based on the value of the silhouette coefficient. Fuzzy c-means and mean shift algorithms are added for comparison purposes. This paper also introduces the impact of the Kalman filter while using the measured UWB test points as an input for the Kalman filter in order to obtain a better estimation of the position. As a result, the average localization error is reduced by 43.26% (from 16.3442 cm to 9.2745 cm) when combining the K-means algorithm with the Kalman filter in which the Kalman-filtered UWB-measured test points are used as an input for the proposed system.

scholarly journals Indoor positioning system for movement path analysis in healthcare institutions

2017 ◽  
Vol 9 (2-3) ◽  
pp. 112 ◽  
Author(s):  
Stefan Grönroos ◽  
Laura-Maria Peltonen ◽  
Valentin Soloviev ◽  
Johan Lilius ◽  
Sanna Salanterä
Keyword(s):  
Low Cost ◽  
Hospital Setting ◽  
Signal Strength ◽  
Indoor Positioning ◽  
Positioning System ◽  
Fitness For Purpose ◽  
Short Term ◽  
Design And Implementation ◽  
The Impact ◽  
Indoor Positioning System

In this paper, we describe an indoor positioning system designed to provide data on the movement patterns of hospital personnel. The data collection is ongoing and part of a larger study project, which aims to evaluate the impact of an information system implemented in a hospital setting. The indoor positioning system was designed to be non-intrusive and straightforward to deploy in multiple hospitals, while requiring minimal existing infrastructure. To this end, the system is based on battery-powered Bluetooth beacons, and mobile phones measuring the signal strength of the beacons to position their bearers. This paper describes the design and implementation of the system. We analyze the positioning accuracy of the system in order to evaluate its fitness for purpose. Based on the results, the system is suitable for short-term deployments due to its low cost and ease of installation.  

scholarly journals Indore Navigation Mobile Application using Indore Positioning System (IPS)

2020 ◽  
Vol 2 (10) ◽  
pp. 5-7
Author(s):  
Anusha Sanampudi* ◽  
Keyword(s):  
Mobile Application ◽  
Smart Phone ◽  
Dead Reckoning ◽  
Steel Structures ◽  
Indoor Positioning ◽  
Indoor Navigation ◽  
Smart Phones ◽  
Positioning System ◽  
Shopping Malls ◽  
Indoor Positioning System

Indoor Positioning system (IPS) is the technology that is used to locate smart phones, people or other objects inside a building where Global Positioning System (GPS) doesn’t work or lack precision such as airports, underground locations, parking, multi-storey buildings etc…There is no fixed standard for implementing IPS rather it could be customized according to the location chosen. IPS in turn uses a number of technologies such as Wi-Fi, Bluetooth, Beacons, magnetic positioning, dead reckoning etc…Among the various technologies available studies prove that Magnetic localization provides a most efficient solution for Indoor positioning. Our paper focuses on building an indoor navigation mobile application for a retail store that allows users to search for a product and navigate them to the particular aisle in which the product is located. There by enabling the application to be location sensitive and context aware. In order to collect magnetic fingerprints and convert the obtained data into latitude and longitude values we make use of an API called IndoorAtlas, which helps in locating smart phones inside a building using the accelerometer, gyroscope, magnetometer and Bluetooth in a mobile. Magnetic localization is the concept where deflections of magnetic field from the steel structures inside the building will be captured by the magnetometer and other sensors within a mobile and that will be used to locate a smart phone inside a building. The same application could be utilized for various use cases such as Supermarkets & Hypermarkets, museums & galleries, Libraries, Hospitals, Airports & stations, Shopping malls, Exhibition and Conferences.

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