An intelligent selection method based on game theory in heterogeneous wireless networks

In next-generation networks, users can optimize the choice with seamless transfer of different access technologies to maximize cost saving and improve quality of service. In such heterogeneous wireless environments, users equipped with multimode wireless devices that can access rich media services via one or more access networks. These networks may differ in terms of monetary cost, coverage range, technology, available bandwidth, energy usage and so on. The new challenge faced by network operators is to ensure users always connect to the best available network, whenever they want and wherever they are or another word to stay Always-Best-Connected. Therefore, a new intelligent method is proposed here to optimize vertical handover in selection processes to ensure Always-Best-Connected in heterogeneous wireless networks. The proposed solution identifies a new game network selection model for choosing the best connections from different candidate wireless networks. The selected network should satisfy the typical user demands. The proposed selection model is implemented by using the non-cooperative game model. The proposed solution is evaluated through in-depth analysis and simulation-based testing. Results clearly prove that the proposed solution exhibits the highest performance compared with other solutions. Copyright © 2016 John Wiley & Sons, Ltd.

[1]  Nazim Agoulmine,et al.  Multicriteria Optimization of Access Selection to Improve the Quality of Experience in Heterogeneous Wireless Access Networks , 2013, IEEE Transactions on Vehicular Technology.

[2]  Alessio Ishizaka,et al.  How to derive priorities in AHP: a comparative study , 2006, Central Eur. J. Oper. Res..

[3]  Abolfazl Mehbodniya,et al.  Wireless network access selection scheme for heterogeneous multimedia traffic , 2013, IET Networks.

[4]  Haris Pervaiz,et al.  A Multi-Criteria Decision Making (MCDM) network selection model providing enhanced QoS differentiation to customers , 2010, 2010 International Conference on Multimedia Computing and Information Technology (MCIT).

[5]  Rabha W. Ibrahim,et al.  A user-centric game selection model based on user preferences for the selection of the best heterogeneous wireless network , 2015, Ann. des Télécommunications.

[6]  C. Chandrasekar,et al.  Trusted Network Selection using SAW and TOPSIS Algorithms for Heterogeneous Wireless Networks , 2011, ArXiv.

[7]  Azzedine Boukerche,et al.  Design and evaluation of a fast MAC layer handoff management scheme for WiFi-based multichannel Vehicular Mesh Networks , 2013, J. Netw. Comput. Appl..

[8]  Drakoulis Martakos,et al.  A utility-based fuzzy TOPSIS method for energy efficient network selection in heterogeneous wireless networks , 2012, Appl. Soft Comput..

[9]  R. Trestian,et al.  Reputation-based network selection mechanism using game theory , 2011, Physical Communication.

[10]  Tao Zhang,et al.  Notice of Violation of IEEE Publication Principles Optimal Path Selection for Multihomed Heterogeneous Wireless Networks , 2011 .

[11]  Iqbal Gondal,et al.  Social-connectivity-aware vertical handover for heterogeneous wireless networks , 2013, J. Netw. Comput. Appl..

[12]  Dharma P. Agrawal,et al.  Handling network uncertainty in heterogeneous wireless networks , 2011, 2011 Proceedings IEEE INFOCOM.

[13]  Guy Pujolle,et al.  An overview of vertical handover decision strategies in heterogeneous wireless networks , 2008, Comput. Commun..

[14]  Rabha W. Ibrahim,et al.  An overview of intelligent selection and prediction method in heterogeneous wireless networks , 2014 .

[15]  Ramona Trestian,et al.  User-centric power-friendly quality-based network selection strategy for heterogeneous wireless environments , 2012 .

[16]  Fang-Yie Leu,et al.  A novel network mobility handoff scheme using SIP and SCTP for multimedia applications , 2009, J. Netw. Comput. Appl..

[17]  Tein-Yaw Chung,et al.  Intelligent call setup strategy for multimedia communication in heterogeneous wireless network , 2012, Expert Syst. Appl..

[18]  Shun-Fang Yang,et al.  A IEEE 802.21 Handover design with QOS provision across WLAN and WMAN , 2008, 2008 International Conference on Communications, Circuits and Systems.

[19]  Djamal Zeghlache,et al.  A review on mobility management and vertical handover solutions over heterogeneous wireless networks , 2012, Comput. Commun..

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

[21]  Parul Garg,et al.  Relay selection in mixed RF/FSO system over generalized channel fading , 2017, Trans. Emerg. Telecommun. Technol..

[22]  Xu Chen,et al.  A bidding model and cooperative game-based vertical handoff decision algorithm , 2011, J. Netw. Comput. Appl..

[23]  Hui Tian,et al.  Utility-Based Dynamic Multi-Service Bandwidth Allocation in Heterogeneous Wireless Networks , 2012, 2012 IEEE 75th Vehicular Technology Conference (VTC Spring).

[24]  Aggeliki Sgora,et al.  Network selection in a WiMAX-WiFi environment , 2011, Pervasive Mob. Comput..

[25]  C. Chandrasekar,et al.  Vertical Handover decision schemes using SAW and WPM for Network selection in Heterogeneous Wireless Networks , 2011, ArXiv.

[26]  Victor M. Ramos R.,et al.  Handing Multiple Communications Sessions for the Next Generation of Wireless Networks , 2010, 2010 Fifth International Conference on Systems and Networks Communications.

[27]  Miltiades E. Anagnostou,et al.  Utility-based RAT selection optimization in heterogeneous wireless networks , 2014, Pervasive Mob. Comput..

[28]  Maode Ma,et al.  Network selection and resource allocation for multicast in HetNets , 2014, J. Netw. Comput. Appl..

[29]  Rabha W. Ibrahim,et al.  A novel noncooperative game competing model using generalized simple additive weighting method to perform network selection in heterogeneous wireless networks , 2015, Int. J. Commun. Syst..

[30]  John Bigham,et al.  Game Theoretical Formulation of Network Selection in Competing Wireless Networks: An Analytic Hierarchy Process Model , 2009, 2009 Third International Conference on Next Generation Mobile Applications, Services and Technologies.

[31]  Ralph E. Steuer,et al.  Multiple Criteria Decision Making, Multiattribute Utility Theory: The Next Ten Years , 1992 .

[32]  Guy Pujolle,et al.  An Intelligent Handover Management System for Future Generation Wireless Networks , 2008, EURASIP J. Wirel. Commun. Netw..

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