@inproceedings{40071a065b9845bbb55d9da972829021,
title = "Enhanced fingerprint-based location estimation system in wireless LAN environment",
abstract = "Received Signal Strength (RSS) is one of the most useful information used for location estimation in Wireless LAN (WLAN). Most of the proposed WLAN positioning systems obtain RSS from either the Access Point or from the Mobile Device, but there are few researches that make use of the RSS obtained from both Access Points and Mobile Devices to perform location estimation. In this paper, we propose a new WLAN positioning system which makes use of the RSS collected from both the Access Points and Mobile Device. Our experimental result shows that the performance of our system is enhanced more than 23%, as compares to the traditional fingerprint-based WLAN positioning system which uses either RSS information obtained at Access Points or Mobile Device exclusively.",
keywords = "Location estimation, Positioning, Ubiquitous computing, Wireless LAN",
author = "Yeung, {Wilson M.} and Zhou, {Jun Yang} and NG, {Joseph K Y}",
note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 2007 IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2007 Workshops ; Conference date: 17-12-2007 Through 20-12-2007",
year = "2007",
doi = "10.1007/978-3-540-77090-9_25",
language = "English",
isbn = "9783540770893",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "273--284",
editor = "Denko, {Mieso K.} and Chi-Sheng Shih and Kuan-Ching Li and Shiao-Li Tsao and Qing-An Zeng and Soo-Hyun Park and Young-Bae Ko and Shih-Hao Hung and Park, {Jong Hyuk}",
booktitle = "Emerging Direction in Embedded and Ubiquitous Computing",
address = "Germany",
}