Wifi positioning system / Amalina Abdul Halim

In recent years, wireless technology with its sub standard 802.11 gaining popularityin deploying for positioning system. With development of mobile computing devices and wireless technique, location detection system is used to determine users location either in indoor or outdoor environment that rel...

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Bibliographic Details
Main Author: Abdul Halim, Amalina
Format: Student Project
Published: Faculty of Information Technology and Quantitative Sciences 2006
Online Access:http://ir.uitm.edu.my/id/eprint/660/
id uitm-660
recordtype eprints
spelling uitm-6602017-11-01T11:32:06Z http://ir.uitm.edu.my/id/eprint/660/ Wifi positioning system / Amalina Abdul Halim Abdul Halim, Amalina In recent years, wireless technology with its sub standard 802.11 gaining popularityin deploying for positioning system. With development of mobile computing devices and wireless technique, location detection system is used to determine users location either in indoor or outdoor environment that relies on WiFi signal strength. The aim of this project is to develop an outdoor positioning system that can estimate the location of mobile devices based on signal strength that broadcast by access point. Beside that this project also apply prototype for UiTM bus application which is can determine the location of the bus and the arrival time of the bus at next bus stop. During data collection, empirical model method is used in order to construct the reference table. Using empirical model in case of wireless positioning system is basically compares the signal strength and find the closet match in the known entries in reference table. This paper present the experimental results that demonstrate the ability of Wifi Positioning system to estimate location of the devices using K-NN algorithm and result in application part is shown based on highest percentage accuracy of time taken to intend bus stop. Faculty of Information Technology and Quantitative Sciences 2006 Student Project NonPeerReviewed Abdul Halim, Amalina (2006) Wifi positioning system / Amalina Abdul Halim. [Student Project] (Unpublished)
repository_type Digital Repository
institution_category Local University
institution Universiti Teknologi MARA
building UiTM Institutional Repository
collection Online Access
description In recent years, wireless technology with its sub standard 802.11 gaining popularityin deploying for positioning system. With development of mobile computing devices and wireless technique, location detection system is used to determine users location either in indoor or outdoor environment that relies on WiFi signal strength. The aim of this project is to develop an outdoor positioning system that can estimate the location of mobile devices based on signal strength that broadcast by access point. Beside that this project also apply prototype for UiTM bus application which is can determine the location of the bus and the arrival time of the bus at next bus stop. During data collection, empirical model method is used in order to construct the reference table. Using empirical model in case of wireless positioning system is basically compares the signal strength and find the closet match in the known entries in reference table. This paper present the experimental results that demonstrate the ability of Wifi Positioning system to estimate location of the devices using K-NN algorithm and result in application part is shown based on highest percentage accuracy of time taken to intend bus stop.
format Student Project
author Abdul Halim, Amalina
spellingShingle Abdul Halim, Amalina
Wifi positioning system / Amalina Abdul Halim
author_facet Abdul Halim, Amalina
author_sort Abdul Halim, Amalina
title Wifi positioning system / Amalina Abdul Halim
title_short Wifi positioning system / Amalina Abdul Halim
title_full Wifi positioning system / Amalina Abdul Halim
title_fullStr Wifi positioning system / Amalina Abdul Halim
title_full_unstemmed Wifi positioning system / Amalina Abdul Halim
title_sort wifi positioning system / amalina abdul halim
publisher Faculty of Information Technology and Quantitative Sciences
publishDate 2006
url http://ir.uitm.edu.my/id/eprint/660/
first_indexed 2023-09-18T22:44:50Z
last_indexed 2023-09-18T22:44:50Z
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