Pregled bibliografske jedinice broj: 915169
Methodology for Anonymous Measurement of Aggregated Smartphone Data Traffic and Characteristics of Smartphone Users
Methodology for Anonymous Measurement of Aggregated Smartphone Data Traffic and Characteristics of Smartphone Users // PosTel 2017 – XXXV Simpozijum o novim tehnologijama u poštanskom i telekomunikacionom saobraćaju / Radojičić, Valentina ; Bajović, Nebojša ; Marković, Dejan ; Marković, Goran (ur.).
Beograd: Saobraćajni fakultet Univerziteta u Beogradu, 2017. str. 191-200 (pozvano predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 915169 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Methodology for Anonymous Measurement of Aggregated Smartphone Data Traffic and Characteristics of Smartphone Users
Autori
Husnjak, Siniša ; Peraković, Dragan ; Periša, Marko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
PosTel 2017 – XXXV Simpozijum o novim tehnologijama u poštanskom i telekomunikacionom saobraćaju
/ Radojičić, Valentina ; Bajović, Nebojša ; Marković, Dejan ; Marković, Goran - Beograd : Saobraćajni fakultet Univerziteta u Beogradu, 2017, 191-200
ISBN
978-86-7395-384-7
Skup
XXXV Simpozijum o novim tehnologijama u poštanskom i telekomunikacionom saobraćaju – PosTel 2017
Mjesto i datum
Beograd, Srbija, 05.12.2017. - 06.12.2017
Vrsta sudjelovanja
Pozvano predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
smartphone, data traffic, anonymization, measurement, methodology
Sažetak
By using smartphones, users are generating data traffic. Users characteristics are an important factor in generating smartphone data traffic. This paper presents a methodology for measuring smartphone data traffic and collecting of data about the individual characteristics of users of those smartphones. Measurement of generated data traffic is achieved by using an integrated smartphone application. The individual characteristics of smartphone users are determined on answers collected through the online questionnaire. The results of the developed methodology enable anonymous collection of aggregated smartphone data traffic and the characteristics of users of those smartphones.
Izvorni jezik
Engleski
Znanstvena područja
Tehnologija prometa i transport, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Fakultet prometnih znanosti, Zagreb