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...

Full description

Bibliographic Details
Main Authors: Jian-Syun Ho, 何建勳
Other Authors: Ji-Chiang Tsai
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/78812458152838821259
id ndltd-TW-101NCHU5441053
record_format oai_dc
spelling 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
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 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.
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 AT jiansyunho acollaborativepedestrianpositioningalgorithmbasedonthehistoryinformation
AT héjiànxūn acollaborativepedestrianpositioningalgorithmbasedonthehistoryinformation
AT jiansyunho jīyúlìshǐzīxùnzhīhézuòshìxíngréndìngwèiyǎnsuànfǎ
AT héjiànxūn jīyúlìshǐzīxùnzhīhézuòshìxíngréndìngwèiyǎnsuànfǎ
AT jiansyunho collaborativepedestrianpositioningalgorithmbasedonthehistoryinformation
AT héjiànxūn collaborativepedestrianpositioningalgorithmbasedonthehistoryinformation
_version_ 1718408099648241664