QOE Measurement model in wi-fi networks: analysis of socio- economics influences in Indonesia

• Autorzy: Ruliyanta Ruliyanta , Ahmad Mohd Riduan , Md Isa Azmi Awang

Identyfikatory

DOI

10.15199/48.2024.06.15

Warianty tytułu

PL

QOE Model pomiarowy w sieciach Wi-Fi: analiza wpływów społeczno-ekonomicznych w Indonezji

• Języki publikacji: EN

Abstrakty

EN

We measure the quality-of-service level of the existing Wi-Fi network on the office in Indonesia. Next, the user is asked to measure the level of network experience. We compare the results of our experience assessment survey with the system's quality of service. The method we use is to group volunteers into two socio-economic groups. The assessment results were carried out using an artificial neural network algorithm. Observation results show that the average quality of service in Socio 1 is 87,11%, while in Socio 2, 92.45%. The mean absolute percentage error measurement results we obtained statistically for Socio 1 were 3.54%, and for Socio 2, the value was 2.11%. The Mean absolute percentage error using artificial neural network backpropagation in Socio 1 is 4.02%, while in the Socio 2 group is 2.06%. The relationship between the two results shows a heavy correlation.

PL

Mierzymy poziom jakości usług istniejącej sieci Wi-Fi w biurze w Indonezji. Następnie użytkownik proszony jest o zmierzenie poziomu doświadczenia sieciowego. Wyniki naszej ankiety oceny doświadczeń porównujemy z jakością obsługi systemu. Stosowana przez nas metoda polega na podzieleniu wolontariuszy na dwie grupy społeczno-ekonomiczne. Wyniki oceny przeprowadzono z wykorzystaniem algorytmu sztucznej sieci neuronowej. Wyniki obserwacji pokazują, że średnia jakość obsługi w Socio 1 wynosi 87,11%, zaś w Socio 2 92,45%. Średnie bezwzględne wyniki pomiaru błędu procentowego, które uzyskaliśmy statystycznie dla Socio 1, wyniosły 3,54%, a dla Socio 2, wartość ta wyniosła 2,11%. Średni bezwzględny błąd procentowy przy zastosowaniu propagacji wstecznej sztucznej sieci neuronowej w grupie Socio 1 wynosi 4,02%, podczas gdy w grupie Socio 2 wynosi 2,06%. Związek pomiędzy obydwoma wynikami wykazuje silną korelację.

Słowa kluczowe

EN

Wi-Fi offloading; artificial neural network; quality of experience; quality of service

PL

odciążanie Wi-Fi; sztuczna sieć neuronowa; jakość doświadczenia; jakość usług

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2024
• Tom: R. 100, nr 6
• Strony: 83--87
• Opis fizyczny: Bibliogr. 37 poz., rys., tab.

Twórcy

autor

Ruliyanta Ruliyanta

• Universitas Nasional, Indonesia & Universiti Teknikal Malaysia Melaka (UTeM)

• https://orcid.org/0000-0002-2439-330X

autor

Ahmad Mohd Riduan

• Universiti Teknikal Malaysia Melaka (UTeM)

• https://orcid.org/0000-0001-9474-7153

autor

Md Isa Azmi Awang

• Universiti Teknikal Malaysia Melaka (UTeM)

• https://orcid.org/0000-0002-9404-5562

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki i promocja sportu (2025).