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Use of Non-monotonic Utility in Multi-Attribute Network Selection

  • Farooq Bari
  • Victor C.M. Leung
Chapter
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 44)

Abstract

In the past few decades several wide-area and local-area wireless access technologies have emerged. Network convergence across these different access technologies holds a promise of enabling ubiquitous service availability but faces several technical challenges. With anticipated proliferation of multimode IP devices, the optimal selection of a service delivery network among multiple IP-based wireless access alternatives is one of the important issues that is actively studied and discussed in several standardization forums. Use of multi-attribute decision making (MADM) algorithms has been proposed in the past for network selection decisions in a heterogeneous wireless network environment. A direct comparison of these algorithms is difficult as this would require the use of another MADM algorithm. A better approach instead is to ascertain the appropriateness of the algorithm to the problem space. This chapter provides the basis for evaluating the appropriateness of MADM algorithms for network selection. It analyzes the use of MADM algorithms such as TOPSIS, ELECTRE and GRA for network selection and argues that GRA provides the best approach in scenarios where the utilities of some of the attributes are non-monotonic. We propose a novel stepwise approach for GRA that uses multiple reference networks and explain how it works with network selection scenarios.

Keywords

Gray Relational Analysis Service Type Network Selection Attribute Weight Reference Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  1. 1.Dept. of Electrical & Computer EngineeringThe University of British ColumbiaVancouverCanada

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