Mobile Lightweight Wireless Systems. First International ICST Conference, MOBILIGHT 2009, Athens, Greece, May 18-20, 2009, Revised Selected Papers

Research Article

Application of Fuzzy AHP and ELECTRE to Network Selection

Download91 downloads
  • @INPROCEEDINGS{10.1007/978-3-642-03819-8_7,
        author={Dimitris Charilas and Ourania Markaki and John Psarras and Philip Constantinou},
        title={Application of Fuzzy AHP and ELECTRE to Network Selection},
        proceedings={Mobile Lightweight Wireless Systems. First International ICST Conference, MOBILIGHT 2009, Athens, Greece, May 18-20, 2009, Revised Selected Papers},
        proceedings_a={MOBILIGHT},
        year={2012},
        month={6},
        keywords={Wireless Networks Fuzzy Logic Fuzzy Triangular Numbers Multi Attribute Decision Making Analytic Hierarchy Process ELECTRE},
        doi={10.1007/978-3-642-03819-8_7}
    }
    
  • Dimitris Charilas
    Ourania Markaki
    John Psarras
    Philip Constantinou
    Year: 2012
    Application of Fuzzy AHP and ELECTRE to Network Selection
    MOBILIGHT
    Springer
    DOI: 10.1007/978-3-642-03819-8_7
Dimitris Charilas1,*, Ourania Markaki1,*, John Psarras1,*, Philip Constantinou1,*
  • 1: National Technical University of Athens
*Contact email: dcharilas@mobile.ntua.gr, omarkaki@epu.ntua.gr, john@epu.ntua.gr, fkonst@mobile.ntua.gr

Abstract

In a heterogeneous wireless network environment services are ubiquitously delivered over multiple wireless access technologies. Ranking of the alternatives and selection of the most efficient and suitable access network to meet the QoS requirements of a specific service, as these are defined by the user, constitutes thus an important issue. Decisions on which network to connect to are however difficult to be reached, since multiple factors of different relative importance have to be taken into consideration. This paper addresses this difficulty by adopting Multi Attribute Decision Making (MADM) methods. Fuzzy AHP, a MADM method, is initially applied to determine the weights of certain Quality of Service indicators that act as the criteria impacting the decision process. The fuzzy extension of the method, and consequently the use of fuzzy numbers, is adopted in order to incorporate the existence of fuzziness as a result of subjective evaluations. Afterwards, ELECTRE, a ranking MADM method, is applied to rank the alternatives, in this case wireless networks, based on their overall performance.