Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/38091
標題: Enhancing the accuracy of WLAN-based location determination systems using predicted orientation information
作者: Liao, I.E.
廖宜恩 
Kao, K.F.
關鍵字: wireless LAN;location determination;location aware;received signal;strength;orientation;environment
Project: Information Sciences
期刊/報告no:: Information Sciences, Volume 178, Issue 4, Page(s) 1049-1068.
摘要: 
Indoor location determination has emerged as a significant research topic due to the wide-spread deployment of wireless local area networks (WLANs) and the demand for context-aware services inside buildings. However, prediction accuracy remains a, primary issue surrounding the practicality of WLAN-based location determination systems. This study proposes a novel scheme that utilizes mobile user orientation information to improve prediction accuracy. Theoretically, if the precise orientation of a user can be identified, then the location determination system can predict that user's location with a high degree of accuracy by using the training data of this specific-orientation. In reality, a mobile user's orientation can be estimated only by comparing variations in received signal strength; and nevertheless the predicted orientation may be incorrect. Incorrect orientation information causes the accuracy of the entire system to decrease. Therefore, this study presents an accumulated orientation strength algorithm which can utilize uncertain estimated orientation information to improve prediction accuracy. Implementation of this system is based on the Bayesian model, and the experimental results indeed show the effectiveness of our proposed approach. (c) 2007 Elsevier Inc. All rights reserved.
URI: http://hdl.handle.net/11455/38091
ISSN: 0020-0255
DOI: 10.1016/j.ins.2007.09.025
Appears in Collections:資訊科學與工程學系所

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