Skip to main content
Erschienen in: Telecommunication Systems 4/2016

01.04.2016

A practical model for ensemble estimation of QoS and QoE in VoIP services via fuzzy inference systems and fuzzy evidence theory

verfasst von: Taha Mansouri, Ali Nabavi, Ahad Zare Ravasan, Hamid Ahangarbahan

Erschienen in: Telecommunication Systems | Ausgabe 4/2016

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Nowadays, there is an increasing number of Voices over IP (VoIP) services offered in telecommunication networks with specific quality requirements. Such requirements impact upon both the objective quality of service (QoS) of the end-to end connection as well as the subjective quality of experience (QoE) as perceived by the end user. In this study, we have proposed an integrated QoS and QoE evaluation system based on the combination of fuzzy inference systems and fuzzy evidence theory. For quality criteria, we have used QoS as a technical source from the viewpoint of service provider and QoE as the end user approach in front of service. We have divided the positive and negative variables of QoE into two distinct systems. At the same time, a parameter has been proposed as quality, which is the total quality of a service according to the objective and subjective viewpoints. To calculate the parameters mentioned above, a fuzzy inference system has been utilized. In addition, to obtain all data sources as an evidence of quality, Dempster–Shafer evidence theory has been employed. Finally, the proposed approach evaluated through the quality of VoIP services in three real cases and the results are discussed.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
2.
Zurück zum Zitat Cano, M.-D., & Cerdan, F. (2012). Subjective QoE analysis of VoIP applications in a wireless campus environment. Telecommunication Systems, 49(1), 5–15.CrossRef Cano, M.-D., & Cerdan, F. (2012). Subjective QoE analysis of VoIP applications in a wireless campus environment. Telecommunication Systems, 49(1), 5–15.CrossRef
3.
Zurück zum Zitat ITU-T (1994) Recommendation E.800: Terms and definitions related to quality of service and network performance including dependability. http://www.itu.int/. Accessed 8 Feb 2014. ITU-T (1994) Recommendation E.800: Terms and definitions related to quality of service and network performance including dependability. http://​www.​itu.​int/​. Accessed 8 Feb 2014.
4.
Zurück zum Zitat Takahashi, A., Hands, D., & Barriac, V. (2008). Standardization activities in the ITU for a QoE assessment of IPTV. IEEE Communications Magazine, 46(2), 78–84.CrossRef Takahashi, A., Hands, D., & Barriac, V. (2008). Standardization activities in the ITU for a QoE assessment of IPTV. IEEE Communications Magazine, 46(2), 78–84.CrossRef
5.
Zurück zum Zitat Alben, L. (1996). Defining the criteria for effective interaction design. Interactions, 3(3), 11–15.CrossRef Alben, L. (1996). Defining the criteria for effective interaction design. Interactions, 3(3), 11–15.CrossRef
6.
Zurück zum Zitat Rifai, H., Mohammed, S., Mellouk, A. (2011). A brief synthesis of QoS-QoE methodologies. In 10th IEEE International Symposium on Programming and Systems (ISPS) (pp. 32–38). Rifai, H., Mohammed, S., Mellouk, A. (2011). A brief synthesis of QoS-QoE methodologies. In 10th IEEE International Symposium on Programming and Systems (ISPS) (pp. 32–38).
9.
11.
Zurück zum Zitat Shafer, G. (1976). A mathematical theory of evidence (Vol. 1). Princeton: Princeton University Press. Shafer, G. (1976). A mathematical theory of evidence (Vol. 1). Princeton: Princeton University Press.
12.
Zurück zum Zitat Khirman, S., Henriksen, P. (2002). Relationship between quality-of-service and quality-of-experience for public internet service. In Proceedings of the 3rd Workshop on Passive and Active Measurement. Khirman, S., Henriksen, P. (2002). Relationship between quality-of-service and quality-of-experience for public internet service. In Proceedings of the 3rd Workshop on Passive and Active Measurement.
13.
Zurück zum Zitat Sánchez-Macián, A., López, D., López de Vergara, J., Pastor, E. (2006). A framework for the automatic calculation of quality of experience in telematic services. In Proceedings of the 13th HP-OVUA Workshop, Côte d’Azur, France. Sánchez-Macián, A., López, D., López de Vergara, J., Pastor, E. (2006). A framework for the automatic calculation of quality of experience in telematic services. In Proceedings of the 13th HP-OVUA Workshop, Côte d’Azur, France.
14.
Zurück zum Zitat Wang, H.-C., Lee, C.-S., & Ho, T.-H. (2007). Combining subjective and objective QoS factors for personalized web service selection. Expert Systems with Applications, 32(2), 571–584.CrossRef Wang, H.-C., Lee, C.-S., & Ho, T.-H. (2007). Combining subjective and objective QoS factors for personalized web service selection. Expert Systems with Applications, 32(2), 571–584.CrossRef
15.
Zurück zum Zitat Kilkki, K. (2008). Quality of experience in communications ecosystem. Journal of Universal Computer Science, 14(5), 615–624. Kilkki, K. (2008). Quality of experience in communications ecosystem. Journal of Universal Computer Science, 14(5), 615–624.
16.
Zurück zum Zitat Hoßfeld, T., & Binzenhöfer, A. (2008). Analysis of skype VoIP traffic in UMTS: End-to-end QoS and QoE measurements. Computer Networks, 52(3), 650–666.CrossRef Hoßfeld, T., & Binzenhöfer, A. (2008). Analysis of skype VoIP traffic in UMTS: End-to-end QoS and QoE measurements. Computer Networks, 52(3), 650–666.CrossRef
17.
Zurück zum Zitat Salcedo, O.J., Sierra, F., Hernandez, C. (2009). An approach to quality of service evaluation using computational intelligence. In IEEE International Conference on New Trends in Information and Service Science, NISS’09. (pp 580–585). Salcedo, O.J., Sierra, F., Hernandez, C. (2009). An approach to quality of service evaluation using computational intelligence. In IEEE International Conference on New Trends in Information and Service Science, NISS’09. (pp 580–585).
18.
Zurück zum Zitat Serral-Gracià, R., Cerqueira, E., Curado, M., Yannuzzi, M., Monteiro, E., Masip-Bruin, X. (2010). An overview of quality of experience measurement challenges for video applications in IP networks. In Wired/Wireless Internet Communications. Springer, (pp 252–263). Serral-Gracià, R., Cerqueira, E., Curado, M., Yannuzzi, M., Monteiro, E., Masip-Bruin, X. (2010). An overview of quality of experience measurement challenges for video applications in IP networks. In Wired/Wireless Internet Communications. Springer, (pp 252–263).
19.
Zurück zum Zitat Fiedler, M., Hossfeld, T., & Tran-Gia, P. (2010). A generic quantitative relationship between quality of experience and quality of service. IEEE Network, 24(2), 36–41.CrossRef Fiedler, M., Hossfeld, T., & Tran-Gia, P. (2010). A generic quantitative relationship between quality of experience and quality of service. IEEE Network, 24(2), 36–41.CrossRef
20.
Zurück zum Zitat Coverdale, P., Möller, S., Raake, A., & Takahashi, A. (2011). Multimedia quality assessment standards in ITU-T SG 12. IEEE Signal Processing Magazine, 28(6), 91–97.CrossRef Coverdale, P., Möller, S., Raake, A., & Takahashi, A. (2011). Multimedia quality assessment standards in ITU-T SG 12. IEEE Signal Processing Magazine, 28(6), 91–97.CrossRef
21.
Zurück zum Zitat Dogman, A., Saatchi, R., & Al-Khayatt, S. (2011). Quality of service evaluation using a combination of fuzzy C-means and regression model. Journal of Computational Information Systems, 7(1), 198–205. Dogman, A., Saatchi, R., & Al-Khayatt, S. (2011). Quality of service evaluation using a combination of fuzzy C-means and regression model. Journal of Computational Information Systems, 7(1), 198–205.
22.
Zurück zum Zitat Li, F., He, Y., Hu, W., Wu, L., & Wen, P. (2011). Web service selection based on fuzzy QoS attributes. Journal of Computational Information Systems, 7(1), 198–205. Li, F., He, Y., Hu, W., Wu, L., & Wen, P. (2011). Web service selection based on fuzzy QoS attributes. Journal of Computational Information Systems, 7(1), 198–205.
23.
Zurück zum Zitat Day, J., Deters, R. (2004). Selecting the best web service. In Proceedings of the conference of the Centre for Advanced Studies on Collaborative research. IBM Press, (pp 293–307). Day, J., Deters, R. (2004). Selecting the best web service. In Proceedings of the conference of the Centre for Advanced Studies on Collaborative research. IBM Press, (pp 293–307).
24.
Zurück zum Zitat Maximilien, E. M., & Singh, M. P. (2004). A framework and ontology for dynamic web services selection. IEEE Internet Computing, 8(5), 84–93.CrossRef Maximilien, E. M., & Singh, M. P. (2004). A framework and ontology for dynamic web services selection. IEEE Internet Computing, 8(5), 84–93.CrossRef
25.
Zurück zum Zitat Menascé, D. A. (2003). Automatic qos control. IEEE Internet Computing, 7(1), 92–95.CrossRef Menascé, D. A. (2003). Automatic qos control. IEEE Internet Computing, 7(1), 92–95.CrossRef
26.
Zurück zum Zitat Ran, S. (2003). A model for web services discovery with QoS. ACM Sigecom Exchanges, 4(1), 1–10.CrossRef Ran, S. (2003). A model for web services discovery with QoS. ACM Sigecom Exchanges, 4(1), 1–10.CrossRef
27.
Zurück zum Zitat Zadeh, L. (2005). Toward a generalized theory of uncertainty (GTU)-an outline. Information Sciences, 172(1–2), 1–40.CrossRef Zadeh, L. (2005). Toward a generalized theory of uncertainty (GTU)-an outline. Information Sciences, 172(1–2), 1–40.CrossRef
28.
Zurück zum Zitat Kulak, O., & Kahraman, C. (2005). Fuzzy multi-attribute selection among transportation companies using axiomatic design and analytic hierarchy process. Information Sciences, 170(2–4), 191–210.CrossRef Kulak, O., & Kahraman, C. (2005). Fuzzy multi-attribute selection among transportation companies using axiomatic design and analytic hierarchy process. Information Sciences, 170(2–4), 191–210.CrossRef
29.
Zurück zum Zitat Leung, L., & Cao, D. (2000). On consistency and ranking of alternatives in fuzzy AHP. European Journal of Operational Research, 124(1), 102–113.CrossRef Leung, L., & Cao, D. (2000). On consistency and ranking of alternatives in fuzzy AHP. European Journal of Operational Research, 124(1), 102–113.CrossRef
30.
Zurück zum Zitat Zadeh, L. (1965). Fuzzy sets. Information and Control, 8(3), 338–353.CrossRef Zadeh, L. (1965). Fuzzy sets. Information and Control, 8(3), 338–353.CrossRef
31.
Zurück zum Zitat Kahraman, C., Ruan, D., & Doan, I. (2003). Fuzzy group decision-making for facility location selection. Information Sciences, 157, 135–153.CrossRef Kahraman, C., Ruan, D., & Doan, I. (2003). Fuzzy group decision-making for facility location selection. Information Sciences, 157, 135–153.CrossRef
32.
Zurück zum Zitat Moalagh, M., & Ravasan, A. Z. (2013). Developing a practical framework for assessing ERP post-implementation success using fuzzy analytic network process. International Journal of Production Research, 51(4), 1236–1257.CrossRef Moalagh, M., & Ravasan, A. Z. (2013). Developing a practical framework for assessing ERP post-implementation success using fuzzy analytic network process. International Journal of Production Research, 51(4), 1236–1257.CrossRef
33.
Zurück zum Zitat Liang, G., & Wang, M. (1993). A fuzzy multi-criteria decision-making approach for robot selection. Robotics and Computer-Integrated Manufacturing, 10(4), 267–274.CrossRef Liang, G., & Wang, M. (1993). A fuzzy multi-criteria decision-making approach for robot selection. Robotics and Computer-Integrated Manufacturing, 10(4), 267–274.CrossRef
34.
Zurück zum Zitat Ding, J., & Liang, G. (2005). Using fuzzy MCDM to select partners of strategic alliances for liner shipping. Information Sciences, 173(1–3), 197–225.CrossRef Ding, J., & Liang, G. (2005). Using fuzzy MCDM to select partners of strategic alliances for liner shipping. Information Sciences, 173(1–3), 197–225.CrossRef
35.
Zurück zum Zitat Mamdani, E. H., & Assilian, S. (1975). An experiment in linguistic synthesis with a fuzzy logic controller. International journal of Man-Machine Studies, 7(1), 1–13.CrossRef Mamdani, E. H., & Assilian, S. (1975). An experiment in linguistic synthesis with a fuzzy logic controller. International journal of Man-Machine Studies, 7(1), 1–13.CrossRef
36.
Zurück zum Zitat Sugeno, M. (1985). Industrial applications of fuzzy control. New York: Elsevier Science Inc. Sugeno, M. (1985). Industrial applications of fuzzy control. New York: Elsevier Science Inc.
37.
Zurück zum Zitat Dempster, A. P. (1967). Upper and lower probabilities induced by a multivalued mapping. The Annals of Mathematical Statistics, 38(2), 325–339.CrossRef Dempster, A. P. (1967). Upper and lower probabilities induced by a multivalued mapping. The Annals of Mathematical Statistics, 38(2), 325–339.CrossRef
38.
Zurück zum Zitat Sevastianov, P., Dymova, L., & Bartosiewicz, P. (2012). A framework for rule-base evidential reasoning in the interval setting applied to diagnosing type 2 diabetes. Expert Systems with Applications, 39(4), 4190–4200.CrossRef Sevastianov, P., Dymova, L., & Bartosiewicz, P. (2012). A framework for rule-base evidential reasoning in the interval setting applied to diagnosing type 2 diabetes. Expert Systems with Applications, 39(4), 4190–4200.CrossRef
39.
Zurück zum Zitat Guan, J. W., & Bell, D. A. (1992). Evidence theory and its applications. Amsterdam: Elsevier Science Publisher. Guan, J. W., & Bell, D. A. (1992). Evidence theory and its applications. Amsterdam: Elsevier Science Publisher.
40.
Zurück zum Zitat Altınçay, H., & Demirekler, M. (2003). Speaker identification by combining multiple classifiers using Dempster-Shafer theory of evidence. Speech Communication, 41(4), 531–547.CrossRef Altınçay, H., & Demirekler, M. (2003). Speaker identification by combining multiple classifiers using Dempster-Shafer theory of evidence. Speech Communication, 41(4), 531–547.CrossRef
41.
Zurück zum Zitat Milisavljević, N., Bloch, I., van den Broek, S., & Acheroy, M. (2003). Improving mine recognition through processing and Dempster–Shafer fusion of ground-penetrating radar data. Pattern Recognition, 36(5), 1233–1250.CrossRef Milisavljević, N., Bloch, I., van den Broek, S., & Acheroy, M. (2003). Improving mine recognition through processing and Dempster–Shafer fusion of ground-penetrating radar data. Pattern Recognition, 36(5), 1233–1250.CrossRef
42.
Zurück zum Zitat Hayatle, O., Youssef, A., & Otrok, H. (2012). Dempster–Shafer evidence combining for (Anti)-Honeypot technologies. Information Security Journal: A Global Perspective, 21(6), 306–316. Hayatle, O., Youssef, A., & Otrok, H. (2012). Dempster–Shafer evidence combining for (Anti)-Honeypot technologies. Information Security Journal: A Global Perspective, 21(6), 306–316.
43.
Zurück zum Zitat Lee, C.-S., & Pan, C.-Y. (2004). An intelligent fuzzy agent for meeting scheduling decision support system. Fuzzy Sets and Systems, 142(3), 467–488.CrossRef Lee, C.-S., & Pan, C.-Y. (2004). An intelligent fuzzy agent for meeting scheduling decision support system. Fuzzy Sets and Systems, 142(3), 467–488.CrossRef
Metadaten
Titel
A practical model for ensemble estimation of QoS and QoE in VoIP services via fuzzy inference systems and fuzzy evidence theory
verfasst von
Taha Mansouri
Ali Nabavi
Ahad Zare Ravasan
Hamid Ahangarbahan
Publikationsdatum
01.04.2016
Verlag
Springer US
Erschienen in
Telecommunication Systems / Ausgabe 4/2016
Print ISSN: 1018-4864
Elektronische ISSN: 1572-9451
DOI
https://doi.org/10.1007/s11235-015-0041-6

Weitere Artikel der Ausgabe 4/2016

Telecommunication Systems 4/2016 Zur Ausgabe

Neuer Inhalt