The Game Theory: Applications in the Wireless Networks

Recent years have witnessed a lot of applications in the computer science, especially in the area of the wireless networks. The applications can be divided into the following two main categories: applications in the network performance and those in the energy efficiency. The game theory is widely used to regulate the behavior of the users; therefore, the cooperation among the nodes can be achieved and the network performance can be improved when the game theory is utilized. On the other hand, the game theory is also adopted to control the media access control protocol or routing protocol; therefore, the energy exhaust owing to the data collision and long route can be reduced and the energy efficiency can be improved greatly. In this chapter, the applications in the network performance and the energy efficiency are reviewed. The state of the art in the applications of the game theory in wireless networks is pointed out. Finally, the future research direction of the game theory in the energy harvesting wireless sensor network is presented.

[1]  Alagan Anpalagan,et al.  Game-Theoretic Multi-Channel Multi-Access in Energy Harvesting Wireless Sensor Networks , 2016, IEEE Sensors Journal.

[2]  D. Richard Brown,et al.  A game theoretic study of energy efficient cooperative wireless networks , 2011, Journal of Communications and Networks.

[3]  Muqing Wu,et al.  A Game-Theoretic and Energy-Efficient Algorithm in an Improved Software-Defined Wireless Sensor Network , 2017, IEEE Access.

[4]  Narayan B. Mandayam,et al.  Pricing for enabling forwarding in self-configuring ad hoc networks , 2005 .

[5]  Mainak Chatterjee,et al.  Cooperation in Wireless Networks with Unreliable Channels , 2011, IEEE Transactions on Communications.

[6]  Eduard A. Jorswieck,et al.  Energy-Efficient Power Control and Receiver Design in Relay-Assisted DS/CDMA Wireless Networks via Game Theory , 2011, IEEE Communications Letters.

[7]  Marco Lops,et al.  A Learning Approach for Low-Complexity Optimization of Energy Efficiency in Multicarrier Wireless Networks , 2018, IEEE Transactions on Wireless Communications.

[8]  Moh Lim Sim,et al.  Fair power control for wireless ad hoc networks using game theory with pricing scheme , 2010, IET Commun..

[9]  Max Q.-H. Meng,et al.  Game-Theoretic Modeling of Joint Topology Control and Power Scheduling for Wireless Heterogeneous Sensor Networks , 2009, IEEE Transactions on Automation Science and Engineering.

[10]  S. Kim Adaptive online power control scheme based on the evolutionary game theory , 2011, IET Commun..

[11]  Zhu Han,et al.  Distributed Relay Selection and Power Control for Multiuser Cooperative Communication Networks Using Stackelberg Game , 2009, IEEE Transactions on Mobile Computing.

[12]  Fabrizio Pancaldi,et al.  A Game Theoretical Approach to the Management of Transmission Selection Scheme in Wireless Ad-Hoc Networks , 2010, IEEE Transactions on Communications.

[13]  R. Michael Buehrer,et al.  A Game-Theoretic Analysis of Link Adaptation in Cellular Radio Networks , 2008, IEEE Transactions on Vehicular Technology.

[14]  Walid Saad,et al.  Network Formation Games Among Relay Stations in Next Generation Wireless Networks , 2011, IEEE Transactions on Communications.

[15]  Shaolei Ren,et al.  Pricing and Distributed Power Control in Wireless Relay Networks , 2011, IEEE Transactions on Signal Processing.

[16]  Deyu Lin,et al.  A game theory based energy efficient clustering routing protocol for WSNs , 2017, Wirel. Networks.

[17]  Narayan B. Mandayam,et al.  Pricing for enabling forwarding in self-configuring ad hoc networks , 2004, WCNC.

[18]  H. Vincent Poor,et al.  Energy-efficient resource allocation in wireless networks with quality-of-service constraints , 2007, IEEE Transactions on Communications.

[19]  Bin Yu,et al.  A cloud-assisted malware detection and suppression framework for wireless multimedia system in IoT based on dynamic differential game , 2018, China Communications.

[20]  Deniz Gündüz,et al.  Designing intelligent energy harvesting communication systems , 2014, IEEE Communications Magazine.

[21]  Giorgio Matteo Vitetta,et al.  A Game Theoretical Approach to Distributed Relay Selection in Randomized Cooperation , 2010, IEEE Transactions on Wireless Communications.

[22]  Bo Li,et al.  Non-cooperative power control for wireless ad hoc networks with repeated games , 2007, IEEE Journal on Selected Areas in Communications.

[23]  Deniz Gündüz,et al.  A Learning Theoretic Approach to Energy Harvesting Communication System Optimization , 2012, IEEE Transactions on Wireless Communications.

[24]  Raviraj S. Adve,et al.  Stimulating Cooperative Diversity in Wireless Ad Hoc Networks through Pricing , 2006, 2006 IEEE International Conference on Communications.

[25]  Derrick Wing Kwan Ng,et al.  Wireless Information and Power Transfer: Energy Efficiency Optimization in OFDMA Systems , 2013, IEEE Transactions on Wireless Communications.

[26]  Andres Garcia-Saavedra,et al.  A Game-Theoretic Approach to Distributed Opportunistic Scheduling , 2011, IEEE/ACM Transactions on Networking.

[27]  Dong In Kim,et al.  Game Theoretic Approaches for Multiple Access in Wireless Networks: A Survey , 2011, IEEE Communications Surveys & Tutorials.

[28]  Hanna Bogucka,et al.  Game theory in wireless networks , 2011 .

[29]  Zhongming Zheng,et al.  Green energy optimization in energy harvesting wireless sensor networks , 2015, IEEE Communications Magazine.

[30]  Nirwan Ansari,et al.  On Optimizing Green Energy Utilization for Cellular Networks with Hybrid Energy Supplies , 2013, IEEE Transactions on Wireless Communications.

[31]  Winston Khoon Guan Seah,et al.  Game-Theoretic Approach for Improving Cooperation in Wireless Multihop Networks , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[32]  Armin Wittneben,et al.  Spectral efficient protocols for half-duplex fading relay channels , 2007, IEEE Journal on Selected Areas in Communications.

[33]  Hamid Sharif,et al.  On Energy Efficient Encryption for Video Streaming in Wireless Sensor Networks , 2010, IEEE Transactions on Multimedia.

[34]  Roger B. Myerson,et al.  Game theory - Analysis of Conflict , 1991 .

[35]  S. Sarkar,et al.  Cooperative Profit Sharing in Coalition Based Resource Allocation in Wireless Networks , 2012, IEEE INFOCOM 2009.

[36]  Shuang-Hua Yang,et al.  Game-theory-based coordination in wireless sensor and actor networks , 2016, IET Wirel. Sens. Syst..