e-journal

Selective RF Fingerprint Scanning for Large-Scale Wi-Fi Positioning Systems

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Abstract

Rapid growth in mobile communication and the proliferation of smartphones have drawn significant attention to location-based services (LBSs). One of the most important factors in the vitalization of LBSs is the accurate position estimation of a mobile device. The traditional global positioning system method has a critical weakness in terms of its limited availability, e.g., in indoor environments. The Wi-Fi positioning system is an attractive method that measures received signal strength indication data from all Wi-Fi access points (APs) and stores them in a huge database in the form of a radio frequency (RF) fingerprint map. Because of the millions of APs in urban areas, RF fingerprints are easily contaminated and transfigured. For this reason, a frequent rescanning of fingerprints is essential for fingerprint data integrity. However, rescanning fingerprints for an entire area requires a considerable amount of cost and effort. Therefore, we present a selective fingerprint rescan method for efficient fingerprint map management. All fingerprint data used in the developed test-bed are harvested from actual radio fingerprint measurements taken throughout Seoul, Korea, to demonstrate the practical usefulness of the proposed methodology.
Keywords
Location-based, services Data analytics, WPS

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Informasi Detail

Judul Seri

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No. Panggil

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Penerbit

: Springer US., 2015

Deskripsi Fisik

J Netw Syst Manage (2015) 23:902–919 DOI 10.1007/s10922-014-9318-4

Bahasa

English

ISBN/ISSN

1573-7705

Klasifikasi

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Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

SISTEM MANAJEMEN
JARINGAN

Info Detail Spesifik

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Pernyataan Tanggungjawab

ETY

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