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37th Annual IEEE Conference on Local Computer Networks
Comparison of Anchor Selection algorithms for improvement of position estimation during the Wi-Fi localization process in disaster scenario
Clearwater Beach, FL, USA USA
October 22-October 25
ISBN: 978-1-4673-1565-4
ASCII Text
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Oleksandr Artemenko, Tobias Simon, Andreas Mitschele-Thiel, Dominik Schulz, Rheza Satria Ta, "Comparison of Anchor Selection algorithms for improvement of position estimation during the Wi-Fi localization process in disaster scenario," 37th Annual IEEE Conference on Local Computer Networks, pp. 44-49, 37th Annual IEEE Conference on Local Computer Networks, 2012.
 
 
BibTex
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@article{ 10.1109/LCN.2012.6423660,
author = {Oleksandr Artemenko and Tobias Simon and Andreas Mitschele-Thiel and Dominik Schulz and Rheza Satria Ta},
title = {Comparison of Anchor Selection algorithms for improvement of position estimation during the Wi-Fi localization process in disaster scenario},
journal ={37th Annual IEEE Conference on Local Computer Networks},
volume = {0},
year = {2012},
issn = {0742-1303},
pages = {44-49},
doi = {http://doi.ieeecomputersociety.org/10.1109/LCN.2012.6423660},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - 37th Annual IEEE Conference on Local Computer Networks
TI - Comparison of Anchor Selection algorithms for improvement of position estimation during the Wi-Fi localization process in disaster scenario
SN - 0742-1303
SP44
EP49
A1 - Oleksandr Artemenko,
A1 - Tobias Simon,
A1 - Andreas Mitschele-Thiel,
A1 - Dominik Schulz,
A1 - Rheza Satria Ta,
PY - 2012
KW - Accuracy
KW - Joints
KW - Estimation
KW - Clustering algorithms
KW - IEEE 802.11 Standards
KW - Educational institutions
KW - Shape
VL - 0
JA - 37th Annual IEEE Conference on Local Computer Networks
ER -
 
Oleksandr Artemenko, Integrated Communication Systems Group, Ilmenau University of Technology, 98693, Germany
Tobias Simon, Integrated Communication Systems Group, Ilmenau University of Technology, 98693, Germany
Andreas Mitschele-Thiel, Integrated Communication Systems Group, Ilmenau University of Technology, 98693, Germany
Dominik Schulz, Communication Networks Research Laboratory, Ilmenau University of Technology, 98693, Germany
Rheza Satria Ta, Swiss German University, Tangerang 15339, Indonesia
It is very common that during the localization process redundant reference data can be collected. This reference data is called “anchors”. For some position estimation algorithms, like trilateration or Min-Max, only three or four anchors for 2-d or 3-d localization respectively are required. The selection of certain anchors from collected amount can affect the localization accuracy significantly [1]. The main purpose of this paper is to propose and analyze several most promising Optimum Anchor Selection algorIthmS (OASIS) that can contribute to the improvement of the localization precision.
Index Terms:
Accuracy,Joints,Estimation,Clustering algorithms,IEEE 802.11 Standards,Educational institutions,Shape
Citation:
Oleksandr Artemenko, Tobias Simon, Andreas Mitschele-Thiel, Dominik Schulz, Rheza Satria Ta, "Comparison of Anchor Selection algorithms for improvement of position estimation during the Wi-Fi localization process in disaster scenario," lcn, pp.44-49, 37th Annual IEEE Conference on Local Computer Networks, 2012
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