Paper Info
Title
Empirical evaluation of signal-strength fingerprint positioning in wireless LANs
Abstract
This paper proposes a novel localization technique based on a multivariate Gaussian modeling of the signal strength measurements collected from several access points (APs) at different locations. It considers a discretized grid-like form of the environment and computes a signature at each cell of the grid. At run time the system compares the signature at the unknown position with the signature of each cell using the Kullback-Leibler Divergence estimation (KLD) between their corresponding probability densities. The paper evaluates the performance of the proposed technique and compares it with other statistical fingerprint-based localization systems. The performance analysis studies were conducted at the premises of a research laboratory and an aquarium under various conditions. Furthermore, the paper evaluates the impact of the number of APs and the size of the measurement datasets.
Year
DOI
Venue
2010
10.1145/1868521.1868525
MSWiM
Keywords
Field
DocType
different location,signal-strength fingerprint positioning,wireless lans,statistical fingerprint-based localization system,access point,measurement datasets,novel localization technique,empirical evaluation,discretized grid-like form,proposed technique,performance analysis study,corresponding probability density,kullback-leibler divergence estimation,percentiles,signal strength,probability density,local system,kullback leibler divergence
Data mining,Discretization,Computer science,Fingerprint,Multivariate normal distribution,Signal strength,Wireless lan,Kullback–Leibler divergence,Grid
Conference
Citations 
PageRank 
References 
9
0.73
20
Authors
6
Name
Order
Citations
PageRank
Dimitrios Milioris1776.93
Lito Kriara2737.67
Artemis Papakonstantinou3422.19
George Tzagkarakis413917.94
P. Tsakalides5954120.69
Maria Papadopouli652058.57