Access Network Selection in a Heterogeneous Environment Using the AHP and Fuzzy TOPSIS Methods

  • Aggeliki Sgora
  • Periklis Chatzimisios
  • Dimitrios D. Vergados
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 45)

Abstract

The problem of network selection across heterogeneous wireless networks has recently received much attention because of a drive for converged communication systems. However, since the selection of an access network depends on several parameters with different relative importance, such as the network and the application characteristics, the user preferences, the service cost, etc, it is a difficult task to be achieved. In this paper an effective access network selection algorithm for heterogeneous wireless networks is proposed that combines two Multi Attribute Decision Making (MADM) methods, the Analytic Hierarchy Process (AHP) method and the fuzzy Total Order Preference by Similarity to the Ideal Solution (TOPSIS) method. More specifically, the AHP method is used to determine weights of the criteria, and the fuzzy TOPSIS method is used to obtain the final access network ranking.

Keywords

Wireless Network Network Selection MADM Heterogeneous Environment AHP TOPSIS fuzzy TOPSIS 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Song, Q., Jamalipour, A.: Quality of Service Provisioning in Wireless LAN/UMTS Integrated Systems Using Analytic Hierarchy Process and Grey Relational Analysis. In: 47th annual IEEE Global Telecommunications Conference (GLOBECOM 2004), pp. 220–224. IEEE, Dallas (2004)Google Scholar
  2. 2.
    Alexandri, E., Martinez, G., Zeghlache, D.: Adaptive Joint Call Admission Control and Access Network Selection for Multimedia Wireless Systems. In: 5th International Symposium Wireless Personal Multimedia Communications, pp. 1390–1394. IEEE, Honolulu (2002)CrossRefGoogle Scholar
  3. 3.
    Skianis, C., Kormentzas, G., Kontovasillis, K.: Interactions between intelligent multimodal terminals and a network management system in a B3G Context, Special Issue on WLAN/3G Integration for Next-Generation Heterogeneous Networks. Wireless Communications and Mobile Computing 5, 679–695 (2005)CrossRefGoogle Scholar
  4. 4.
    Bari, F., Leung, V.: Application of ELECTRE to Network Selection in A Hetereogeneous Wireless Network Environment. In: The 2007 IEEE Wireless Communications and Networking Conference (WCNC 2007), pp. 3810–3815. IEEE, Syndney (2007)CrossRefGoogle Scholar
  5. 5.
    Bari, F., Leung, V.: Automated Network Automated network selection in a heterogeneous wireless network environment. IEEE Network 21(1), 34–40 (2007)CrossRefGoogle Scholar
  6. 6.
    Song, Q., Jamalipour, A.: Network Selection in an integrated Wireless LAN and UMTS Environment Using Mathematical Modeling and Computing Techniques. IEEE Wireless Communications 12(3), 42–48 (2005)CrossRefGoogle Scholar
  7. 7.
    Wu, J.S., Yang., S.F., Hwang, B.J.: A Terminal-Controlled Vertical Handover Decision Scheme in IEEE 802.21-Enabled Heterogeneous Wireless Networks. International Journal of Communication Systems 22, 819–834 (2009)CrossRefGoogle Scholar
  8. 8.
    Charilas, D.E., Markaki, O.I., Psarras, J., Constantinou, P.: Application of Fuzzy AHP and ELECTRE to Network Selection. In: 1st International Conference on Mobile Lightweight Wireless Systems (Mobilight 2009), Athens, Greece, May 18-20 (2009)Google Scholar
  9. 9.
    Dagdeviren, M., Yavuz, S., Kılınç, N.: Weapon selection using the AHP and TOPSIS methods under fuzzy environment. Expert Systems with Applications 36, 8143–8151 (2009)CrossRefGoogle Scholar
  10. 10.
    Zadeh, L.A.: Fuzzy sets. Inf. Control 8, 338–353 (1965)MathSciNetCrossRefMATHGoogle Scholar
  11. 11.
    Dweiri, F.: Fuzzy development of crisp activity relationship charts for facilities layout. Computers and Industrial Engineering 36, 1–16 (1999)CrossRefGoogle Scholar
  12. 12.
    Zimmermann, H.J.: Fuzzy set theory and its applications. Kluwer, Boston (1991)CrossRefMATHGoogle Scholar
  13. 13.
    Saaty, T.L.: The Analytic Hierarchy Process. RWS Publications, Pittsburgh (1990)MATHGoogle Scholar
  14. 14.
    Hwang, C.L., Yoon, K.: Multiple attribute decision making: Methods and applications, A State of the Art Survey. Springer, New York (1981)CrossRefMATHGoogle Scholar

Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2010

Authors and Affiliations

  • Aggeliki Sgora
    • 1
  • Periklis Chatzimisios
    • 2
  • Dimitrios D. Vergados
    • 1
  1. 1.Department of InformaticsUniversity of PiraeusPiraeusGreece
  2. 2.Computing Systems, Security and Networks Research Lab Department of InformaticsAlexander Technological Educational Institution of ThessalonikiSindosGreece

Personalised recommendations