Indoor Localization berbasis RSS Fingerprint Menggunakan IEEE 802.11n

This paper discuss about indoor localization using IEEE 802.11n wireless network using RRS-­ based fingerprint technique. To perform indoor localization, Nearest Neighbor (NN) algorithm is employed. This research is conducted in hallways at 3rd floor of EE and IT Department building, Gadjah Ma...

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Main Author: Widyawan, Widyawan
Format: Article PeerReviewed
Language:English
Published: 2012
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Online Access:https://repository.ugm.ac.id/33104/1/Indoor_Localization_berbasis_RSS_Fingerprint.pdf
https://repository.ugm.ac.id/33104/
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Institution: Universitas Gadjah Mada
Language: English
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spelling id-ugm-repo.331042016-02-29T08:07:10Z https://repository.ugm.ac.id/33104/ Indoor Localization berbasis RSS Fingerprint Menggunakan IEEE 802.11n Widyawan, Widyawan Electrical and Electronic Engineering This paper discuss about indoor localization using IEEE 802.11n wireless network using RRS-­ based fingerprint technique. To perform indoor localization, Nearest Neighbor (NN) algorithm is employed. This research is conducted in hallways at 3rd floor of EE and IT Department building, Gadjah Mada University with total dimension of 1969.68 m2. Fingerprint map is built with two different resolutions (i.e 1m2 and 2m2). Evaluation of the localization technique is performed under four configurations. The result show that the smaller grid dimension is, the closest the estimated distance is (error is reduced to 2.386 meter). The number of wireless access points that used in fingerprinting also affects the localization performance, adding more access points reduce the localization error to 4.1311 meter. 2012 Article PeerReviewed application/pdf en https://repository.ugm.ac.id/33104/1/Indoor_Localization_berbasis_RSS_Fingerprint.pdf Widyawan, Widyawan (2012) Indoor Localization berbasis RSS Fingerprint Menggunakan IEEE 802.11n. Proceeding CITEE 2012. ISSN 2085-6350
institution Universitas Gadjah Mada
building UGM Library
country Indonesia
collection Repository Civitas UGM
language English
topic Electrical and Electronic Engineering
spellingShingle Electrical and Electronic Engineering
Widyawan, Widyawan
Indoor Localization berbasis RSS Fingerprint Menggunakan IEEE 802.11n
description This paper discuss about indoor localization using IEEE 802.11n wireless network using RRS-­ based fingerprint technique. To perform indoor localization, Nearest Neighbor (NN) algorithm is employed. This research is conducted in hallways at 3rd floor of EE and IT Department building, Gadjah Mada University with total dimension of 1969.68 m2. Fingerprint map is built with two different resolutions (i.e 1m2 and 2m2). Evaluation of the localization technique is performed under four configurations. The result show that the smaller grid dimension is, the closest the estimated distance is (error is reduced to 2.386 meter). The number of wireless access points that used in fingerprinting also affects the localization performance, adding more access points reduce the localization error to 4.1311 meter.
format Article
PeerReviewed
author Widyawan, Widyawan
author_facet Widyawan, Widyawan
author_sort Widyawan, Widyawan
title Indoor Localization berbasis RSS Fingerprint Menggunakan IEEE 802.11n
title_short Indoor Localization berbasis RSS Fingerprint Menggunakan IEEE 802.11n
title_full Indoor Localization berbasis RSS Fingerprint Menggunakan IEEE 802.11n
title_fullStr Indoor Localization berbasis RSS Fingerprint Menggunakan IEEE 802.11n
title_full_unstemmed Indoor Localization berbasis RSS Fingerprint Menggunakan IEEE 802.11n
title_sort indoor localization berbasis rss fingerprint menggunakan ieee 802.11n
publishDate 2012
url https://repository.ugm.ac.id/33104/1/Indoor_Localization_berbasis_RSS_Fingerprint.pdf
https://repository.ugm.ac.id/33104/
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