Distributed Real-Time High-Precision Localization Algorithm for Wireless Sensor Network
碩士 === 中華大學 === 資訊工程學系(所) === 99 === Besides sensing the environment variables, the application of localization in wireless sensor networks has became an important research subject. Unlike the other range-free localization schemes which are not effective in real time performance, we propose a real t...
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ndltd-TW-099CHPI53920012015-10-13T18:59:26Z http://ndltd.ncl.edu.tw/handle/11657213730791456477 Distributed Real-Time High-Precision Localization Algorithm for Wireless Sensor Network 無線感測網路中分散式的移動目標的定位與追蹤 Ying Tsao 曹穎 碩士 中華大學 資訊工程學系(所) 99 Besides sensing the environment variables, the application of localization in wireless sensor networks has became an important research subject. Unlike the other range-free localization schemes which are not effective in real time performance, we propose a real time algorithm, which determines the location of the moving object based on dynamically changing signal strength. Our proposal improves the precision of the localization by frequently observing the changing signal strength. Under this scheme, we introduce some anchors that have the knowledge of their own position. These anchors observe the signal strength of moving objects frequently. Based on the changing signal strength, an anchor determines if the object is closing in or moving away from it. Together with information such as the rate of moving and the sampling frequency, we can forecast the moving object's new position. This is how real-time localization can be achieved with precision. The simulation results demonstrated our algorithm is more effective and precise in the sense of real time localization scheme compared with previous method. Wen Ouyang 歐陽雯 2010 學位論文 ; thesis 50 zh-TW |
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碩士 === 中華大學 === 資訊工程學系(所) === 99 === Besides sensing the environment variables, the application of localization in wireless sensor networks has became an important research subject. Unlike the other range-free localization schemes which are not effective in real time performance, we propose a real time algorithm, which determines the location of the moving object based on dynamically changing signal strength. Our proposal improves the precision of the localization by frequently observing the changing signal strength. Under this scheme, we introduce some anchors that have the knowledge of their own position. These anchors observe the signal strength of moving objects frequently. Based on the changing signal strength, an anchor determines if the object is closing in or moving away from it. Together with information such as the rate of moving and the sampling frequency, we can forecast the moving object's new position. This is how real-time localization can be achieved with precision. The simulation results demonstrated our algorithm is more effective and precise in the sense of real time localization scheme compared with previous method.
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Wen Ouyang |
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Wen Ouyang Ying Tsao 曹穎 |
author |
Ying Tsao 曹穎 |
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Ying Tsao 曹穎 Distributed Real-Time High-Precision Localization Algorithm for Wireless Sensor Network |
author_sort |
Ying Tsao |
title |
Distributed Real-Time High-Precision Localization Algorithm for Wireless Sensor Network |
title_short |
Distributed Real-Time High-Precision Localization Algorithm for Wireless Sensor Network |
title_full |
Distributed Real-Time High-Precision Localization Algorithm for Wireless Sensor Network |
title_fullStr |
Distributed Real-Time High-Precision Localization Algorithm for Wireless Sensor Network |
title_full_unstemmed |
Distributed Real-Time High-Precision Localization Algorithm for Wireless Sensor Network |
title_sort |
distributed real-time high-precision localization algorithm for wireless sensor network |
publishDate |
2010 |
url |
http://ndltd.ncl.edu.tw/handle/11657213730791456477 |
work_keys_str_mv |
AT yingtsao distributedrealtimehighprecisionlocalizationalgorithmforwirelesssensornetwork AT cáoyǐng distributedrealtimehighprecisionlocalizationalgorithmforwirelesssensornetwork AT yingtsao wúxiàngǎncèwǎnglùzhōngfēnsànshìdeyídòngmùbiāodedìngwèiyǔzhuīzōng AT cáoyǐng wúxiàngǎncèwǎnglùzhōngfēnsànshìdeyídòngmùbiāodedìngwèiyǔzhuīzōng |
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1718039971225403392 |