Donatella Gubiani (Avtor), P. Gallo (Avtor), Andrea Viel (Avtor), Andrea Dalla Torre (Avtor), Angelo Montanari (Avtor)

Povzetek

Besides being a fundamental infrastructure for communication, cellular networks are increasingly exploited for positioning via signal fingerprinting. Here, we focus on cellular signal fingerprinting, where an accurate and comprehensive knowledge of the network is fundamental. We propose an original multilevel database for cellular networks, which can be automatically updated with new fingerprint measurements and makes it possible to execute a number of meaningful analyses. In particular, it allows one to monitor the distribution of cellular networks over countries, to determine the density of cells in different areas, and to detect inconsistencies in fingerprint observations.

Ključne besede

cellular network;signal fingerprinting;multilevel database;data analysis;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.08 - Objavljeni znanstveni prispevek na konferenci
Organizacija: UNG - Univerza v Novi Gorici
UDK: 004
COBISS: 5452283 Povezava se bo odprla v novem oknu
ISSN: 1865-0929
Št. ogledov: 2710
Št. prenosov: 0
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

URN: URN:SI:UNG
Vrsta dela (COBISS): Delo ni kategorizirano
Strani: Str. 111-119
DOI: 10.1007/978-3-030-30278-8_14
ID: 11226887