TY - JOUR
T1 - Exploiting User Movement Direction and Hidden Access Point for Smartphone Localization
AU - Yoo, Seungho
AU - Kim, Eugene
AU - Kim, Hwangnam
N1 - Publisher Copyright:
© Springer Science+Business Media New York 2014.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2014/10/7
Y1 - 2014/10/7
N2 - In this paper, we propose a global positioning system-less localization method, called Hidden Access Point Estimation-based Localization (HAPEL) to pinpoint user’s current position in an underground or indoor environment, especially where access points (APs) are placed scarcely in that two or less Wi-Fi APs are within the scanning range. Conceptually, HAPEL enhances the weighted centroid localization (WCL) by exploiting hidden APs and estimating the direction of user movement. The movement direction can be estimated with digital compass, accelerometer and gyroscope, all of which are usually installed on smartphones, and the estimation result is used to choose which hidden APs participate in the WCL. We have conducted a performance evaluation study on HAPEL in comparison with WCL and fingerprint methods in an empirical test-bed. The results indicate that HAPEL improves the accuracy of the WCL significantly.
AB - In this paper, we propose a global positioning system-less localization method, called Hidden Access Point Estimation-based Localization (HAPEL) to pinpoint user’s current position in an underground or indoor environment, especially where access points (APs) are placed scarcely in that two or less Wi-Fi APs are within the scanning range. Conceptually, HAPEL enhances the weighted centroid localization (WCL) by exploiting hidden APs and estimating the direction of user movement. The movement direction can be estimated with digital compass, accelerometer and gyroscope, all of which are usually installed on smartphones, and the estimation result is used to choose which hidden APs participate in the WCL. We have conducted a performance evaluation study on HAPEL in comparison with WCL and fingerprint methods in an empirical test-bed. The results indicate that HAPEL improves the accuracy of the WCL significantly.
KW - Dead reckoning
KW - Indoor localization
KW - Wi-Fi based localization
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U2 - 10.1007/s11277-014-2049-8
DO - 10.1007/s11277-014-2049-8
M3 - Article
AN - SCOPUS:85027943247
VL - 78
SP - 1863
EP - 1878
JO - Wireless Personal Communications
JF - Wireless Personal Communications
SN - 0929-6212
IS - 4
ER -