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Localization using fingerprint method in emergency situation for indoor navigation system / Felix Ceilomond Samam

Since Global Positioning System (GPS) can only be applied outdoor environment where signals will be blocked by the construction materials inside a building and it is not suitable for the implementation for INS. Wi-Fi is the alternate for making the INS a possible. Implementing Wi-Fi by exploiting th...

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Main Author:	Samam, Felix Ceilomond
Format:	Thesis
Language:	English
Published:	2015
Subjects:	Wireless communication systems. Mobile communication systems. Access control
Online Access:	https://ir.uitm.edu.my/id/eprint/73464/1/73464.pdf https://ir.uitm.edu.my/id/eprint/73464/
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id	my.uitm.ir.73464
record_format	eprints
spelling	my.uitm.ir.734642023-06-02T08:09:20Z https://ir.uitm.edu.my/id/eprint/73464/ Localization using fingerprint method in emergency situation for indoor navigation system / Felix Ceilomond Samam Samam, Felix Ceilomond Wireless communication systems. Mobile communication systems. Access control Since Global Positioning System (GPS) can only be applied outdoor environment where signals will be blocked by the construction materials inside a building and it is not suitable for the implementation for INS. Wi-Fi is the alternate for making the INS a possible. Implementing Wi-Fi by exploiting the Received Signal Strength (RSS) is one of the techniques for implementation of INS as Wi-Fi network has already exists in most building. There are three components in the proposed INS which are localization, navigation and modeling database. The method for the Wi-Fi localization is the Wi-Fi fingerprint method will be used. In navigation, the connection or paths between each RP can be created to provide the best route to the destination. The technique used for the route planning is Dijkstra's algorithm. In modelling database for Indoor Navigation System, the system only relies on the use of identification of nearby Wi-Fi access point. In order to create database for indoor navigation system, Wi-Fi access point is required to create the reference point which use fingerprint technique by collecting the RSS I value for each access point (AP). The method used is the collection of data using Wi-Fi fingerprint Apps on smartphone. The results of the fingerprint algorithm for localization shows higher accuracy compare to other methods and the implementation of this method are easy as user require only a mobile device equipped with Wi-Fi facilities to determine the location. This method can produce better positioning and reliable in the building as it has better accuracy compare to the other method, which is triangulations. For navigation, higher accuracy can be achieved in terms of shortest distance taken to the destination compared to other technique and the implementation of this technique are easy since users only have to manipulate the weight between each RPs according to obstacle that exist along the paths. Bigger obstacles will gives higher value of weight. Route planning using Dijkstra's algorithm can produce better accuracy and more reliable in indoor environment since the only factor taken into account is the weight for each path. 2015 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/73464/1/73464.pdf Localization using fingerprint method in emergency situation for indoor navigation system / Felix Ceilomond Samam. (2015) Degree thesis, thesis, Universiti Teknologi MARA (UiTM).
institution	Universiti Teknologi Mara
building	Tun Abdul Razak Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Mara
content_source	UiTM Institutional Repository
url_provider	http://ir.uitm.edu.my/
language	English
topic	Wireless communication systems. Mobile communication systems. Access control
spellingShingle	Wireless communication systems. Mobile communication systems. Access control Samam, Felix Ceilomond Localization using fingerprint method in emergency situation for indoor navigation system / Felix Ceilomond Samam
description	Since Global Positioning System (GPS) can only be applied outdoor environment where signals will be blocked by the construction materials inside a building and it is not suitable for the implementation for INS. Wi-Fi is the alternate for making the INS a possible. Implementing Wi-Fi by exploiting the Received Signal Strength (RSS) is one of the techniques for implementation of INS as Wi-Fi network has already exists in most building. There are three components in the proposed INS which are localization, navigation and modeling database. The method for the Wi-Fi localization is the Wi-Fi fingerprint method will be used. In navigation, the connection or paths between each RP can be created to provide the best route to the destination. The technique used for the route planning is Dijkstra's algorithm. In modelling database for Indoor Navigation System, the system only relies on the use of identification of nearby Wi-Fi access point. In order to create database for indoor navigation system, Wi-Fi access point is required to create the reference point which use fingerprint technique by collecting the RSS I value for each access point (AP). The method used is the collection of data using Wi-Fi fingerprint Apps on smartphone. The results of the fingerprint algorithm for localization shows higher accuracy compare to other methods and the implementation of this method are easy as user require only a mobile device equipped with Wi-Fi facilities to determine the location. This method can produce better positioning and reliable in the building as it has better accuracy compare to the other method, which is triangulations. For navigation, higher accuracy can be achieved in terms of shortest distance taken to the destination compared to other technique and the implementation of this technique are easy since users only have to manipulate the weight between each RPs according to obstacle that exist along the paths. Bigger obstacles will gives higher value of weight. Route planning using Dijkstra's algorithm can produce better accuracy and more reliable in indoor environment since the only factor taken into account is the weight for each path.
format	Thesis
author	Samam, Felix Ceilomond
author_facet	Samam, Felix Ceilomond
author_sort	Samam, Felix Ceilomond
title	Localization using fingerprint method in emergency situation for indoor navigation system / Felix Ceilomond Samam
title_short	Localization using fingerprint method in emergency situation for indoor navigation system / Felix Ceilomond Samam
title_full	Localization using fingerprint method in emergency situation for indoor navigation system / Felix Ceilomond Samam
title_fullStr	Localization using fingerprint method in emergency situation for indoor navigation system / Felix Ceilomond Samam
title_full_unstemmed	Localization using fingerprint method in emergency situation for indoor navigation system / Felix Ceilomond Samam
title_sort	localization using fingerprint method in emergency situation for indoor navigation system / felix ceilomond samam
publishDate	2015
url	https://ir.uitm.edu.my/id/eprint/73464/1/73464.pdf https://ir.uitm.edu.my/id/eprint/73464/
_version_	1768011534912454656
score	13.211869

Localization using fingerprint method in emergency situation for indoor navigation system / Felix Ceilomond Samam

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