Paper Info
Title
Indoor Positioning Based on the iBeacon Framework with Gaussian Weight Functions
Abstract
This paper proposes an indoor positioning system based on the iBeacon framework. The proposed positioning scheme is a path loss method which uses the coordinate of transmitters in estimating the receiver's coordinate. To effectively reduce the measurement error due to reflected waves, we introduce a technique to represent the region at which the receiver is likely to exist by using the superposition of several Gaussian functions. The performance of the proposed scheme is experimentally evaluated. The result of experiments indicates that the proposed scheme reduces the estimation error of conventional schemes by 16.5% and effectively bounds the variance of estimation error. In addition, the computation time required for the positioning is less than 20 [ms], which implies that it can be used as a part of indoor location-aware applications.
Year
DOI
Venue
2016
10.1109/CSE-EUC-DCABES.2016.178
2016 IEEE Intl Conference on Computational Science and Engineering (CSE) and IEEE Intl Conference on Embedded and Ubiquitous Computing (EUC) and 15th Intl Symposium on Distributed Computing and Applications for Business Engineering (DCABES)
Keywords
Field
DocType
Indoor positioning system,Bluetooth low energy,path loss method,Gaussian function
Transmitter,Superposition principle,Computer science,iBeacon,Algorithm,Real-time computing,Gaussian,Path loss,Indoor positioning system,Observational error,Distributed computing,Computation
Conference
ISBN
Citations 
PageRank 
978-1-5090-3594-6
0
0.34
References 
Authors
5
2
Name
Order
Citations
PageRank
Ryota Kanzaki120.70
Satoshi Fujita24618.99