Location fingerprinting utilizes periodic beacons transmitted by Wireless Local Area Network (WLAN) Access Points (APs) to provide localization in indoor environments. Currently no method is able to quantify the effectiveness of localization information provided by individual APs. Such a metric would enable the optimal placement of new APs as well as eliminating redundant APs so as to reduce the resources consumed by indoor localization software in client devices. This paper proposes LocationInfo, a metric that utilizes walk test data for quantifying the localization efficacy of APs. The performance of LocationInfo is evaluated using two experimental settings. First, it is used for identifying the optimal location for new APs. Second, it is used for filtering out excess APs in a crowded WLAN environment. In both experiments, LocationInfo outperforms existing metrics.
Chamal SAPUMOHOTTI
Multimedia University
Mohamad-Yusoff ALIAS
Multimedia University
Su-Wei TAN
Multimedia University
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Chamal SAPUMOHOTTI, Mohamad-Yusoff ALIAS, Su-Wei TAN, "Low Cost Metric for Comparing the Localization Efficacy of WLAN Access Points Using RF Site Survey Data" in IEICE TRANSACTIONS on Communications,
vol. E97-B, no. 7, pp. 1403-1411, July 2014, doi: 10.1587/transcom.E97.B.1403.
Abstract: Location fingerprinting utilizes periodic beacons transmitted by Wireless Local Area Network (WLAN) Access Points (APs) to provide localization in indoor environments. Currently no method is able to quantify the effectiveness of localization information provided by individual APs. Such a metric would enable the optimal placement of new APs as well as eliminating redundant APs so as to reduce the resources consumed by indoor localization software in client devices. This paper proposes LocationInfo, a metric that utilizes walk test data for quantifying the localization efficacy of APs. The performance of LocationInfo is evaluated using two experimental settings. First, it is used for identifying the optimal location for new APs. Second, it is used for filtering out excess APs in a crowded WLAN environment. In both experiments, LocationInfo outperforms existing metrics.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.E97.B.1403/_p
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@ARTICLE{e97-b_7_1403,
author={Chamal SAPUMOHOTTI, Mohamad-Yusoff ALIAS, Su-Wei TAN, },
journal={IEICE TRANSACTIONS on Communications},
title={Low Cost Metric for Comparing the Localization Efficacy of WLAN Access Points Using RF Site Survey Data},
year={2014},
volume={E97-B},
number={7},
pages={1403-1411},
abstract={Location fingerprinting utilizes periodic beacons transmitted by Wireless Local Area Network (WLAN) Access Points (APs) to provide localization in indoor environments. Currently no method is able to quantify the effectiveness of localization information provided by individual APs. Such a metric would enable the optimal placement of new APs as well as eliminating redundant APs so as to reduce the resources consumed by indoor localization software in client devices. This paper proposes LocationInfo, a metric that utilizes walk test data for quantifying the localization efficacy of APs. The performance of LocationInfo is evaluated using two experimental settings. First, it is used for identifying the optimal location for new APs. Second, it is used for filtering out excess APs in a crowded WLAN environment. In both experiments, LocationInfo outperforms existing metrics.},
keywords={},
doi={10.1587/transcom.E97.B.1403},
ISSN={1745-1345},
month={July},}
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TY - JOUR
TI - Low Cost Metric for Comparing the Localization Efficacy of WLAN Access Points Using RF Site Survey Data
T2 - IEICE TRANSACTIONS on Communications
SP - 1403
EP - 1411
AU - Chamal SAPUMOHOTTI
AU - Mohamad-Yusoff ALIAS
AU - Su-Wei TAN
PY - 2014
DO - 10.1587/transcom.E97.B.1403
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E97-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2014
AB - Location fingerprinting utilizes periodic beacons transmitted by Wireless Local Area Network (WLAN) Access Points (APs) to provide localization in indoor environments. Currently no method is able to quantify the effectiveness of localization information provided by individual APs. Such a metric would enable the optimal placement of new APs as well as eliminating redundant APs so as to reduce the resources consumed by indoor localization software in client devices. This paper proposes LocationInfo, a metric that utilizes walk test data for quantifying the localization efficacy of APs. The performance of LocationInfo is evaluated using two experimental settings. First, it is used for identifying the optimal location for new APs. Second, it is used for filtering out excess APs in a crowded WLAN environment. In both experiments, LocationInfo outperforms existing metrics.
ER -