People Help People : A Community-based Fingerprinting Real-time Localization System

碩士 === 國立交通大學 === 網路工程研究所 === 96 === Location-based services (LBSs) have emerged as one of the killer applications for mobile computing and wireless data services. Among all localization systems, the RF-based pattern matching schemes are the most cost effective and useful. However, these schemes may...

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Main Authors: Shih-Chin Lin, 林仕晉
Other Authors: Yu-Chee Tseng
Format: Others
Language:en_US
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/32012815522823302375
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spelling ndltd-TW-096NCTU57260822015-10-13T12:18:14Z http://ndltd.ncl.edu.tw/handle/32012815522823302375 People Help People : A Community-based Fingerprinting Real-time Localization System 支援大範圍定位服務的地理指紋社群系統 Shih-Chin Lin 林仕晉 碩士 國立交通大學 網路工程研究所 96 Location-based services (LBSs) have emerged as one of the killer applications for mobile computing and wireless data services. Among all localization systems, the RF-based pattern matching schemes are the most cost effective and useful. However, these schemes may incur high calibration efforts and the high comparison cost in the large-scale environment. We adopt a novel community-based system design to solve the calibration problem and develop the confidence filter and feedback tuning mechanisms to guarantee the data reliability. For computation speed and finer location estimation,We apply two critical large-scale algorithms to this system. We also design a location-based service architecture for this community based fingerprinting real time localization system. Yu-Chee Tseng 曾煜棋 2008 學位論文 ; thesis 31 en_US
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description 碩士 === 國立交通大學 === 網路工程研究所 === 96 === Location-based services (LBSs) have emerged as one of the killer applications for mobile computing and wireless data services. Among all localization systems, the RF-based pattern matching schemes are the most cost effective and useful. However, these schemes may incur high calibration efforts and the high comparison cost in the large-scale environment. We adopt a novel community-based system design to solve the calibration problem and develop the confidence filter and feedback tuning mechanisms to guarantee the data reliability. For computation speed and finer location estimation,We apply two critical large-scale algorithms to this system. We also design a location-based service architecture for this community based fingerprinting real time localization system.
author2 Yu-Chee Tseng
author_facet Yu-Chee Tseng
Shih-Chin Lin
林仕晉
author Shih-Chin Lin
林仕晉
spellingShingle Shih-Chin Lin
林仕晉
People Help People : A Community-based Fingerprinting Real-time Localization System
author_sort Shih-Chin Lin
title People Help People : A Community-based Fingerprinting Real-time Localization System
title_short People Help People : A Community-based Fingerprinting Real-time Localization System
title_full People Help People : A Community-based Fingerprinting Real-time Localization System
title_fullStr People Help People : A Community-based Fingerprinting Real-time Localization System
title_full_unstemmed People Help People : A Community-based Fingerprinting Real-time Localization System
title_sort people help people : a community-based fingerprinting real-time localization system
publishDate 2008
url http://ndltd.ncl.edu.tw/handle/32012815522823302375
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AT línshìjìn zhīyuándàfànwéidìngwèifúwùdedelǐzhǐwénshèqúnxìtǒng
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