Sign In
Register
eISSN:2278-5299

International Journal of Latest Research in Science and Technology

DOI:10.29111/ijlrst   ISRA Impact Factor:3.35

A News Letter Sign UP!
MULTIPLE ATTRIBUTE NETWORK SELECTION ALGORITHM BASED ON EVOLUTIONARY GAME THEORY IN WIRELESS NETWORK

Research Paper Open Access

International Journal of Latest Research in Science and Technology Vol.5 Issue 5, pp 32-36,Year 2016

MULTIPLE ATTRIBUTE NETWORK SELECTION ALGORITHM BASED ON EVOLUTIONARY GAME THEORY IN WIRELESS NETWORK

Xin Song, Wenmin Liu, Minglei Zhang, Feng Liu

Correspondence should be addressed to :

Received : 25 October 2016; Accepted : 28 October 2016 ; Published : 31 October 2016

Share
Download 125
View 178
Article No. 10685
Abstract

Abstract- In a heterogeneous wireless network, multiple networks are available to provide end to end mobility and service to mobile users. So in heterogeneous wireless network, selection of the optimal network becomes an important task, which is a key technology to realize fair resource allocation and load balancing for converged multi-radio heterogeneous networks. In this paper, we combine the grey relational analysis and evolutionary game theory (GREGT) to solve the network selection problem in the constrained heterogeneous networks. In GREGT, utility functions are designed appropriately to compute user QoS satisfaction of the candidate network. User preferences and network condition that are considered in this paper are computed by fuzzy analytic hierarchy process (FAHP) and grey relational analysis (GRA), then the dynamics of the population’s behavior are explicitly described by EGT. At last, the validity of the proposed scheme is verified by numerical and simulation results.

Key Words   
Evolutionary game theory; Heterogeneous wireless networks; Replication dynamics; Grey rela

Copyright
References
  1. Andreev, M. Gerasimenko and O. Galinina, “Intelligent access network selection in converged multi-radio heterogeneous networks,” IEEE Wireless Communications, pp.86-96, Dec. 2014.
  2. Bari and V. Leung, “Automated Network Selection in a Heterogeneous Wireless Network Environment,” IEEE Network, vol.21, no.1, pp.34-40, Jan/Feb.2007.
  3. E. Charilas, O. I. Markaki, J. Psarras, and P. Constantinou, “Application of Fuzzy AHP and ELECTRE to Network Selection,” Mob. Light. Wirel. Syst., vol.13, pp.63–73, 2009.
  4. Aumann and J. Dreze, “Cooperative games with coalition structures,” Int. Journal of Game Theory, vol.3, pp.317-237, 1974.
  5. O. Jackson, “A survey of models of network formation: Stability and efficiency,” In Group Formation in Economics: Networks, Clubs and Coalitions, New York Cambridge University Press, 2004.
  6. Bin Liu, Hui Tian, Bin Wang and Bo Fan, “AHP and Game Theory based Approach for Network Selection in Heterogeneous Wireless Networks,” The 11th Annual IEEE CCNC-Wireless Communications Track, 2014.
  7. Wei Zhong, Youyun Xu, Tianfield Huaglory, “Game-Theoretic Opportunistic Spectrum Sharing Strategy Selection for Cognitive MIMO Multiple Access Channels,” IEEE Transactions on Signal Processing, vol.59, no.6, pp.2745-2759, June, 2011.
  8. Khan, M.A., Tembine, H., “Evolutionary coalitional games in network selection,” Wireless Advanced (WiAd), pp.185-194, June 2011.
  9. Kaiyuan J. “Research on radio resources management method in heterogeneous wireless networks,” Harbin Institute of Technology, pp.84-87, Jul. 2014.
  10. Zhang, S. and Zhu, Q, “Heterogeneous wireless network selection algorithm based on group decision,” Journal of China Universities of Posts & Telecommunications, vol.21, no.3, pp.1-92, 2014.
  11. Zhao, S., Shi, W. and Fan, S, “A GRA-based network selection mechanism in heterogeneous wireless networks,” Computer Mechatronics Control and Electronic Engineering (CMCE), 2010 International Conference, pp.215-218, 2010.
  12. Dusit Niyato, Ekram Hossain and Zhu Han, “Dynamics of Multiple-Seller and Multiple-Buyer Spectrum Trading in Cognitive Radio Networks:A Game-Theoretic Modeling Approach,” IEEE Transactions On Mobile Computing, vol.8, no.8, August 2009.
  13. Ma, S. and Zhang, J, “Network selection algorithm by using AHP and entropy theory,” Xi’an University of Posts and Telecommunications, vol.3, pp.162-167, 2014.
To cite this article

Xin Song, Wenmin Liu, Minglei Zhang, Feng Liu , " Multiple Attribute Network Selection Algorithm Based On Evolutionary Game Theory In Wireless Network ", International Journal of Latest Research in Science and Technology . Vol. 5, Issue 5, pp 32-36 , 2016

Responsive image

MNK Publication was founded in 2012 to upholder revolutionary ideas that would advance the research and practice of business and management. Today, we comply with to advance fresh thinking in latest scientific fields where we think we can make a real difference and growth now also including medical and social care, education,management and engineering.

Responsive image

We offers several opportunities for partnership and tie-up with individual, corporate and organizational level. We are working on the open access platform. Editors, authors, readers, librarians and conference organizer can work together. We are giving open opportunities to all. Our team is always willing to work and collaborate to promote open access publication.

Responsive image

Our Journals provide one of the strongest International open access platform for research communities. Our conference proceeding services provide conference organizers a privileged platform for publishing extended conference papers as journal publications. It is deliberated to disseminate scientific research and to establish long term International collaborations and partnerships with academic communities and conference organizers.