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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| Format: | Others |
| Language: | en_US |
| Published: |
2008
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| Online Access: | http://ndltd.ncl.edu.tw/handle/32012815522823302375 |
| Summary: | 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.
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