Game theoretic framework for studying WBAN coexistence: 2-Player game analysis and n-player game estimation

As an emerging technology for anywhere anytime healthcare, Wireless Body Area Networks (WBANs) bring many benefits as well as challenges. One practical issue is the coexistence of multiple networks in a limited space under resource constraints. Game theory, originally developed from economics, is a mathematical tool to analyse decision making among self-interested agents. Due to the heterogeneous, distributed and autonomous nature of WBANs, game theory is believed to be an appropriate tool to study the coexistence issue. This paper formulates a flexible game theoretic framework to study WBAN coexistence. We provide a detailed mathematical analysis for a 2-player game. When the number of WBANs increases in a game, the complexity in utility calculation and simulations grows greatly. We propose an estimation method to model games involving more than two players.

[1]  Ying Chen,et al.  SNR estimation and decision making using hypothesis testing in energy-efficient adaptive modulation , 2014, 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC).

[2]  Samaneh Movassaghi,et al.  Smart spectrum allocation for interference mitigation in Wireless Body Area Networks , 2014, 2014 IEEE International Conference on Communications (ICC).

[3]  Yoav Shoham,et al.  Essentials of Game Theory: A Concise Multidisciplinary Introduction , 2008, Essentials of Game Theory: A Concise Multidisciplinary Introduction.

[4]  Eryk Dutkiewicz,et al.  Distributed Inter-Network Interference Coordination for Wireless Body Area Networks , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[5]  Kamran Sayrafian-Pour,et al.  Interference Mitigation Using Adaptive Schemes in Body Area Networks , 2012, Int. J. Wirel. Inf. Networks.

[6]  Abbas Jamalipour,et al.  Wireless Body Area Networks: A Survey , 2014, IEEE Communications Surveys & Tutorials.

[7]  Eryk Dutkiewicz,et al.  Inter-network interference mitigation in Wireless Body Area Networks using power control games , 2010, 2010 10th International Symposium on Communications and Information Technologies.

[8]  Honggang Wang,et al.  Interference Mitigation for Cyber-Physical Wireless Body Area Network System Using Social Networks , 2013, IEEE Transactions on Emerging Topics in Computing.

[9]  Sung-Kwan Youm,et al.  Asynchronous inter-network interference avoidance for wireless body area networks , 2012, The Journal of Supercomputing.

[10]  Chang Wen Chen,et al.  Bayesian game based power control scheme for inter-WBAN interference mitigation , 2014, 2014 IEEE Global Communications Conference.

[11]  Upkar Varshney,et al.  Pervasive Healthcare and Wireless Health Monitoring , 2007, Mob. Networks Appl..

[12]  Jianfeng Wang,et al.  Applications, challenges, and prospective in emerging body area networking technologies , 2010, IEEE Wireless Communications.

[13]  Chiara Buratti,et al.  A Survey on Wireless Body Area Networks: Technologies and Design Challenges , 2014, IEEE Communications Surveys & Tutorials.

[14]  Allen B. MacKenzie,et al.  Game Theory for Wireless Engineers , 2006, Game Theory for Wireless Engineers.