Reputation Based Cooperation Between Network Operators in the Heterogeneous Wireless Environments

Year 2015, Volume: 36 Issue: 3, 1326 - 1331, 13.05.2015

Hadi Shahriar Shahhoseini Amir Hosein Jafari

Abstract

Abstract. Todays, the cooperation between operators to provide high quality service has been taken into consideration due to increasing demand for high-rate service and challenges such as costs for deployment of equipment by the operators,. Therefore, in current paper, cooperation among operators to for sharing resources is studied according to utility obtained from service provider in terms of quality of service, financial cost and energy consumption features for different preferences considering reputation concept. For payoff allocation is done in the cases that a pool of operators exists based on reputation aware weighted Shapley value power index. It is shown that the operators get payoff related to required service preferences. Also, it is shown that the operators with higher reputation can earn more payoff which this encourages them to increase their service quality.

Keywords

Payoff, Operator, Weighted Value Shapley, Reputation

References

• H. Huang, Z. Y.Zhang, P. Cheng, (2010) “Cooperative spectrum sensing in cognitive radio systems with limited sensing ability,” Journal of Zhejiang University SCIENCE C, 11(3) pp. 175-186.
• A. H. Jafari , H. S. Shahhoseini, (2014) "A New Economic History-Based Algorithm for Network Selection in the Heterogeneous Wireless Networks," 7(12), pp. 2033-2040.
• H.S. Shahhoseini, A.H. Jafari and K. Afhamisisi, (2015), "An MDP Approach for Defending Against Fraud Attack in Cognitive Radio Networks," 61, pp. 1-6.
• J. Antoniou, V. Papadopoulou-Lesta, L. Libman, A. Pitsillides,H. R. Dehkordi, (2014), “Cooperation among access points for enhanced quality of service in dense wireless environments,” in proceeding of 15th International Symposium on Mobile and Multimedia Networks (WoWMoM), pp. 1-6.
• M.A. Khan,A.C. Toker, C. Troung, (2009), “Cooperative game theoretic approach to integrated bandwidth sharing and allocation,” in Proc. of International Conference on Game Theory for Networks, (GameNets), Pp. 1-9.
• J. Antoniou, I. Koukoutsidis, E. Jaho, (2009), “Access network synthesis game in next generation networks,” J. Computer Networks, 53(15), pp. 2716-2726.
• R. L. Aguiar, A. Sarma, D. Bijwaard, (2007) “Pervasiveness in a competitive multi- operator environment: The daidalos project,” J. Communications Magazine, IEEE, 45(10), pp. 22-26.
• D. Niyato and E. Hossain, (2006) “A Cooperative Game Framework for Bandwidth Allocation in 4G Heterogeneous Wireless Networks,” IEEE International Conference on Communications, ICC'06. pp. 4357-4362.
• P. Pöyhönen, J. Markendahl, O. Strandberg, (2007) “Impact of operator cooperation on traffic load distribution and user experience in Ambient Networks business scenarios,” in Proceeding of Global Mobility Roundtable, Los Angeles June, pp. 1-2.
• Chang, H. B., & Chen, K. C., (2011), “Cooperative spectrum sharing economy for heterogeneous wireless network,” In GLOBECOM Workshops (GC Wkshps), pP. 458- 463.
• Dragan, C. Irinel, (2008), “On the computation of weighted Shapley value for cooperative TU-games,” Technical Report 360, Department of Mathematics, University of Texas at Arlington, pp. 21-31.
• R. Trestian, O. Ormond, G. Muntean, (2011) “Reputation-based network selection mechanism using game theory,” Physical Communication, 4(3), pp. 156-171.