A Research for Location-aware System Based on Wireless LANs

碩士 === 銘傳大學 === 資訊傳播工程學系碩士班 === 94 === Global Positioning System (GPS) is a well-known Location-based Service (LBS). GPS satellites circle the earth twice a day in a very precise orbit and transmit signal information to earth. GPS receivers take this information and use triangulation to calculate th...

Full description

Bibliographic Details
Main Authors: Yung-Jing Peng, 彭詠靖
Other Authors: Sheng-Cheng Yeh
Format: Others
Language:zh-TW
Published: 2006
Online Access:http://ndltd.ncl.edu.tw/handle/4grjg7
id ndltd-TW-094MCU05676001
record_format oai_dc
spelling ndltd-TW-094MCU056760012018-04-10T17:13:14Z http://ndltd.ncl.edu.tw/handle/4grjg7 A Research for Location-aware System Based on Wireless LANs 無線區域網路之位置感知系統研究 Yung-Jing Peng 彭詠靖 碩士 銘傳大學 資訊傳播工程學系碩士班 94 Global Positioning System (GPS) is a well-known Location-based Service (LBS). GPS satellites circle the earth twice a day in a very precise orbit and transmit signal information to earth. GPS receivers take this information and use triangulation to calculate the user''s location. Essentially, the GPS receiver calculates the time of the signal was transmitted by a satellite and the time who receives. The location of GPS is accurate about 5 meters to 40 meters. But it must keep line of sight (LOS) between receivers and satellites, it is ineffective indoors. As regards indoor environment based on Wireless LANs, P. Bahl and V. N. Padmanabhan proposed the RADAR (Radio Detection and Ranging) mechanism in 2000 IEEE INFOCOM, a radio-frequency (RF) based system for locating and tracking users inside buildings. RADAR operates by recording and processing signal strength information at multiple base stations to triangulate the user’s location. Triangulation is done using both empirical-determined and theoretical computed signal strength information. This thesis exhausts an indoor locating mechanism and implements a location-aware system based on WiFi environments. During the on-line phase we gather received signal strength indicator (RSSI) as the substitution from multiple Access Points (AP) with the prediction model to estimate the mobile user’s location. As the experimental results of our research which indicated that the mean of error distance within 4 meters. According to the proposed radio prediction model, we can reduce the number of training points during the off-line phase, and improve the computing load of mobile devices efficiently. Sheng-Cheng Yeh 葉生正 2006 學位論文 ; thesis 79 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 銘傳大學 === 資訊傳播工程學系碩士班 === 94 === Global Positioning System (GPS) is a well-known Location-based Service (LBS). GPS satellites circle the earth twice a day in a very precise orbit and transmit signal information to earth. GPS receivers take this information and use triangulation to calculate the user''s location. Essentially, the GPS receiver calculates the time of the signal was transmitted by a satellite and the time who receives. The location of GPS is accurate about 5 meters to 40 meters. But it must keep line of sight (LOS) between receivers and satellites, it is ineffective indoors. As regards indoor environment based on Wireless LANs, P. Bahl and V. N. Padmanabhan proposed the RADAR (Radio Detection and Ranging) mechanism in 2000 IEEE INFOCOM, a radio-frequency (RF) based system for locating and tracking users inside buildings. RADAR operates by recording and processing signal strength information at multiple base stations to triangulate the user’s location. Triangulation is done using both empirical-determined and theoretical computed signal strength information. This thesis exhausts an indoor locating mechanism and implements a location-aware system based on WiFi environments. During the on-line phase we gather received signal strength indicator (RSSI) as the substitution from multiple Access Points (AP) with the prediction model to estimate the mobile user’s location. As the experimental results of our research which indicated that the mean of error distance within 4 meters. According to the proposed radio prediction model, we can reduce the number of training points during the off-line phase, and improve the computing load of mobile devices efficiently.
author2 Sheng-Cheng Yeh
author_facet Sheng-Cheng Yeh
Yung-Jing Peng
彭詠靖
author Yung-Jing Peng
彭詠靖
spellingShingle Yung-Jing Peng
彭詠靖
A Research for Location-aware System Based on Wireless LANs
author_sort Yung-Jing Peng
title A Research for Location-aware System Based on Wireless LANs
title_short A Research for Location-aware System Based on Wireless LANs
title_full A Research for Location-aware System Based on Wireless LANs
title_fullStr A Research for Location-aware System Based on Wireless LANs
title_full_unstemmed A Research for Location-aware System Based on Wireless LANs
title_sort research for location-aware system based on wireless lans
publishDate 2006
url http://ndltd.ncl.edu.tw/handle/4grjg7
work_keys_str_mv AT yungjingpeng aresearchforlocationawaresystembasedonwirelesslans
AT péngyǒngjìng aresearchforlocationawaresystembasedonwirelesslans
AT yungjingpeng wúxiànqūyùwǎnglùzhīwèizhìgǎnzhīxìtǒngyánjiū
AT péngyǒngjìng wúxiànqūyùwǎnglùzhīwèizhìgǎnzhīxìtǒngyánjiū
AT yungjingpeng researchforlocationawaresystembasedonwirelesslans
AT péngyǒngjìng researchforlocationawaresystembasedonwirelesslans
_version_ 1718624935815938048