AHP and game theory based approach for network selection in heterogeneous wireless networks

Due to the lack of spectrum resources in wireless networks, to efficiently make use of the existing heterogeneous wireless networks is of significant importance. Network selection mechanism plays an important role for mobile users to target a network under the principle “always best connected (ABC)” in heterogeneous wireless environment. In this paper, a novel approach for network selection based on the combination of analytic hierarchy process (AHP) and bankruptcy game which is a special type of an N-person cooperative game is proposed and investigated. The AHP method takes the responsibility of evaluating weights of multiple decision criteria, which depends more on the consideration from the user side. On the other hand, the bankruptcy game is mainly used to assess the potentials of available candidate networks. Finally, the combination of AHP and bankruptcy game evaluates the potential contribution ratio (PCR) of each candidate network and the network with the largest PCR is selected.

[1]  Toshinori Suzuki,et al.  Novel Communication System Selection Applying the AHP Algorithm in Heterogeneous Wireless Networks , 2011 .

[2]  Evangelos Triantaphyllou,et al.  USING THE ANALYTIC HIERARCHY PROCESS FOR DECISION MAKING IN ENGINEERING APPLICATIONS: SOME CHALLENGES , 1995 .

[3]  Michael Wooldridge,et al.  Cooperative Game Theory: Basic Concepts and Computational Challenges , 2012, IEEE Intelligent Systems.

[4]  Farooq Bari,et al.  Multi-Attribute Network Selection by Iterative TOPSIS for Heterogeneous Wireless Access , 2007, 2007 4th IEEE Consumer Communications and Networking Conference.

[5]  E. Gustafsson,et al.  Always best connected , 2003, IEEE Wirel. Commun..

[6]  Joaquín Sánchez-Soriano,et al.  Game Theory Techniques for University Management: An Extended Bankruptcy Model , 2002, Ann. Oper. Res..

[7]  Aggeliki Sgora,et al.  An access network selection algorithm for heterogeneous wireless environments , 2010, The IEEE symposium on Computers and Communications.

[8]  Thomas L. Saaty,et al.  Decision making for leaders , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[9]  Lahby Mohamed,et al.  A Hybrid Approach for Network Selection in Heterogeneous Multi-Access Environments , 2011, NTMS 2011.

[10]  Abdellah Adib,et al.  A Hybrid Approach for Network Selection in Heterogeneous Multi-Access Environments , 2011, 2011 4th IFIP International Conference on New Technologies, Mobility and Security.

[11]  Gabriel-Miro Muntean,et al.  Game Theory-Based Network Selection: Solutions and Challenges , 2012, IEEE Communications Surveys & Tutorials.

[12]  David Binet,et al.  MADM-based network selection in heterogeneous wireless networks: A simulation study , 2009, 2009 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology.

[13]  ABBAS JAMALIPOUR,et al.  Network selection in an integrated wireless LAN and UMTS environment using mathematical modeling and computing techniques , 2005, IEEE Wireless Communications.

[14]  Dusit Niyato,et al.  A Cooperative Game Framework for Bandwidth Allocation in 4G Heterogeneous Wireless Networks , 2006, 2006 IEEE International Conference on Communications.

[15]  Petri Mähönen,et al.  Algorithmic Approaches for Vertical Handoff in Heterogeneous Wireless Environment , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[16]  Jiyi Wu,et al.  A Novel AHP and GRA Based Handover Decision Mechanism in Heterogeneous Wireless Networks , 2010, ICICA.