A Collaborative Pedestrian Positioning Algorithm Based on the History Information
碩士 === 國立中興大學 === 電機工程學系所 === 101 === In recent years, Localization is one of key technologies in wireless sensor networks(WSNs) . the sensor units of the wireless sensor network have made tremendous progress, and it has been used in a wide variety of applications. Considering the shortages of p...
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ndltd-TW-101NCHU54410532017-01-14T04:15:06Z http://ndltd.ncl.edu.tw/handle/78812458152838821259 A Collaborative Pedestrian Positioning Algorithm Based on the History Information 基於歷史資訊之合作式行人定位演算法 Jian-Syun Ho 何建勳 碩士 國立中興大學 電機工程學系所 101 In recent years, Localization is one of key technologies in wireless sensor networks(WSNs) . the sensor units of the wireless sensor network have made tremendous progress, and it has been used in a wide variety of applications. Considering the shortages of precision on classic multidimensional scaling anchor-free localization algorithm, new collaborative pedestrian positioning algorithm based on the history information are propose. we consider the history information and MDS-Minimum、MDS-Average algorithm are modify algorithm of the Floyd. They calculated the angle based on historical information, speculated that the next distance Dij. MDS-Minimum will take the minimum shortest path, MDS-Average is average path. Through theoretical analysis and simulations, our simulation results show that MDS-Minimum and MDS-Average algorithm improves the accurancy of node localization significantly. Ji-Chiang Tsai 蔡智強 2013 學位論文 ; thesis 44 zh-TW |
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碩士 === 國立中興大學 === 電機工程學系所 === 101 === In recent years, Localization is one of key technologies in wireless sensor networks(WSNs) . the sensor units of the wireless sensor network have made tremendous progress, and it has been used in a wide variety of applications.
Considering the shortages of precision on classic multidimensional scaling anchor-free localization algorithm, new collaborative pedestrian positioning algorithm based on the history information are propose.
we consider the history information and MDS-Minimum、MDS-Average algorithm are modify algorithm of the Floyd.
They calculated the angle based on historical information, speculated that the next distance Dij. MDS-Minimum will take the minimum shortest path, MDS-Average is average path.
Through theoretical analysis and simulations, our simulation results show that MDS-Minimum and MDS-Average algorithm improves the accurancy of node localization significantly.
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author2 |
Ji-Chiang Tsai |
author_facet |
Ji-Chiang Tsai Jian-Syun Ho 何建勳 |
author |
Jian-Syun Ho 何建勳 |
spellingShingle |
Jian-Syun Ho 何建勳 A Collaborative Pedestrian Positioning Algorithm Based on the History Information |
author_sort |
Jian-Syun Ho |
title |
A Collaborative Pedestrian Positioning Algorithm Based on the History Information |
title_short |
A Collaborative Pedestrian Positioning Algorithm Based on the History Information |
title_full |
A Collaborative Pedestrian Positioning Algorithm Based on the History Information |
title_fullStr |
A Collaborative Pedestrian Positioning Algorithm Based on the History Information |
title_full_unstemmed |
A Collaborative Pedestrian Positioning Algorithm Based on the History Information |
title_sort |
collaborative pedestrian positioning algorithm based on the history information |
publishDate |
2013 |
url |
http://ndltd.ncl.edu.tw/handle/78812458152838821259 |
work_keys_str_mv |
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