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A Markov Game based QoS Control Scheme for the Next Generation Internet of Things
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  • Journal title : Journal of KIISE
  • Volume 42, Issue 11,  2015, pp.1423-1429
  • Publisher : Korean Institute of Information Scientists and Engineers
  • DOI : 10.5626/JOK.2015.42.11.1423
 Title & Authors
A Markov Game based QoS Control Scheme for the Next Generation Internet of Things
Kim, Sungwook;
The Internet of Things (IoT) is a new concept associated with the future Internet, and it has recently become a popular concept to build a dynamic, global network infrastructure. However, the deployment of IoT creates difficulties in satisfying different Quality of Service (QoS) requirements and achieving rapid service composition and deployment. In this paper, we propose a new QoS control scheme for IoT systems. The Markov game model is applied in our proposed scheme to effectively allocate IoT resources while maximizing system performance. The results of our study are validated by running a simulation to prove that the proposed scheme can promptly evaluate current IoT situations and select the best action. Thus, our scheme approximates the optimum system performance.
Internet of Things;Markov game;game theory;learning algorithm;Boltzmann distribution;
 Cited by
Qi Zhang and Dewei Peng, "Intelligent Decision-Making Service Framework Based on QoS Model in the Internet of Things," IEEE DCABES'2012, pp. 103-107, 2012.

Ling Li, Shancang Li and Shanshan Zhao, "QoS-Aware Scheduling of Services-Oriented Internet of Things," IEEE Transactions on Industrial Informatics, Vol. 10, No. 2, pp. 1497-1505, 2014. crossref(new window)

Sungwook Kim, "Adaptive Ad-hoc Network Routing Scheme by Using Incentive-based Model," Ad hoc & Sensor Wireless Networks, Vol. 15, No. 2, pp. 107-125, 2012.

J. van der Wal, "Discounted Markov games : successive approximation and stopping times," International Journal of Game Theory, Vol. 6, No. 1, pp. 11-22, 1977. crossref(new window)

Peter Vrancx, Katja Verbeeck, and Ann Nowe, "Decentralized Learning in Markov Games," IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, Vol. 38, No. 4, pp. 976-981, 2008.

Ren Duan, Xiaojiang Chen and Tianzhang Xing, "A QoS Architecture for IOT," iThings/CPSCom'2011, pp. 717-720, 2011.

Imran, A., Bennis, M. and Giupponi, L., "Use of learning, game theory and optimization as biomimetic approaches for Self-Organization in macro-femtocell coexistence," IEEE WCNCW'2012, pp. 103-108, 2012.