Fingerprint-Based Location Estimation with Virtual Access Points

Hossain, A. K. M. Mahtab; Van, Hien Nguyen; Soh, Wee-Seng

doi:10.1109/icccn.2008.ecp.99

Cited by 14 publications

(10 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, most of the currently used systems are based on the radio fingerprint principle that makes the thorough survey of the area necessary before deployment and after every change in the network infrastructure [3], [4], [5]. Realizing this burden, our goal was to develop an algorithm that eliminates this difficulty while maintaining the accuracy and performance of the previous systems.…”

Section: Introductionmentioning

confidence: 99%

Indoor location services and context-sensitive applications in wireless networks

Schulcz

Varga

Tóth

2010

2010 International Conference on Indoor Positioning and Indoor Navigation

View full text Add to dashboard Cite

The present research was conducted at the Budapest University of Technology in the field of indoor location using radio waves of Wi-Fi networks with a focus on practical application issues. Our goal was to enhance and combine existing algorithms and create an implementation that is efficient enough to enable real-time operation in 3D space in multi-level office environments while retaining the accuracy of more complex systems and allowing the addition of valuable context-sensitive features.The proposed solution is based on proven empirical propagation models, with the ability to augment and refine with surveyed radio fingerprint data. The results of the location algorithm are combined with heuristic probability distributions layered over the floor plan, thus incorporating available sensor data (accelerometers and magnetometers found in modern devices) and floor plans. The positioning system is used by an indoor navigation software developed for smartphones and complemented by a database of annotated entities (persons, devices, areas and points of interest) to allow the inference of location-dependent, contextsensitive information through an API provided for upper layer applications.This paper primarily focuses on the practical experience accumulated during the development of the positioning algorithm, as well as the possibilities opened by having a dynamic view of all the attributes assigned to persons either directly or indirectly via their locations or other external data sources. The implementation heavily relies on the Spatial extension of the Oracle Database system, which provides geometric data types and operations. The benefits of the employment of such a system are going to be presented in the current article.

show abstract

Section: Introductionmentioning

confidence: 99%

Indoor location services and context-sensitive applications in wireless networks

Schulcz

Varga

Tóth

2010

2010 International Conference on Indoor Positioning and Indoor Navigation

View full text Add to dashboard Cite

show abstract

“…Previous study was done on the creation of VAPs, 7 and it proved to be effective by reducing the error distance compared to only using RSSI values of existing APs. In that approach, VAP delivers the position of the user in the range of about 4 m, which is an improvement from just using APs.…”

Section: Introductionmentioning

confidence: 99%

Indoor localization system based on virtual access points with filtering schemes

Lee

Labinghisa

2019

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

In indoor positioning techniques, Wi-Fi is one of the most used technology because of its availability and cost-effectiveness. Access points are usually the main source of Wi-Fi signals in an indoor environment. If access points are optimized to cover the indoor area, this could improve Wi-Fi signal distribution. This article proposed an alternative to optimizing access point placement and distribution by introducing virtual access points that can be virtually placed in any part of the indoor environment without installation of actual access points. Virtual access points will be created heuristically by correlating received signal strength indicator of already existing access points and through linear regression. After introducing virtual access points in the indoor environment, next will be the addition of filters to improve signal fluctuation and reduce noise interference. Kalman filter has been previously used together with virtual access point and showed improvement by decreasing error distance of Wi-Fi fingerprinting results. This article also aims to include particle filter in the system to further improve localization and test its effectiveness when paired with Kalman filter. The performance testing of the algorithm in different indoor environments resulted in 3.18 and 3.59 m error distances. An improvement was added on the system by using relative distances instead of received signal strength indicator values in distance estimation and gave an error distance average of 1.85 m.

show abstract

“…In contrast to the more common fingerprint applications for User Equipment (UE) positioning (e.g. [9], [10], [11], [12], [13], [14], [15] and [16]), this paper focuses on the identification of cell areas. The cell fingerprints are solely based on the Received Signal Strength (RSS) of the neighbor cells as measured by the UE.…”

Section: Introductionmentioning

confidence: 99%

Cell Identification based on Received Signal Strength Fingerprints: Concept and Application towards Energy Saving in Cellular Networks

Roth-Mandutz¹,

Mwanje²,

Mitschele‐Thiel³

2014

ICST Trans Mobile Comm Appl

View full text Add to dashboard Cite

The increasing deployment of small cells aimed at off-loading data traffic from macrocells in heterogeneous networks has resulted in a drastic increase in energy consumption in cellular networks. Energy consumption can be optimized in a selforganized way by adapting the number of active cells in response to the current traffic demand. In this paper we concentrate on the complex problem of how to identify small cells to be reactivated in situations where multiple cells are concurrently inactive. Solely based on the received signal strength, we present cell-specific patterns for the generation of unique cell fingerprints. The cell fingerprints of the deactivated cells are matched with measurements from a high data rate demanding mobile device to identify the most appropriate candidate. Our scheme results in a matching success rate of up to 100% to identify the best cell depending on the number of cells to be activated.

show abstract

Fingerprint-Based Location Estimation with Virtual Access Points

Cited by 14 publications

References 8 publications

Indoor location services and context-sensitive applications in wireless networks

Indoor location services and context-sensitive applications in wireless networks

Indoor localization system based on virtual access points with filtering schemes

Cell Identification based on Received Signal Strength Fingerprints: Concept and Application towards Energy Saving in Cellular Networks

Contact Info

Product

Resources

About