Social welfare maximization for SRSNs using bio-inspired community cooperation mechanism

Chinese Science Bulletin

Volumn 57, Issue 1, 2012, Pages 125-131

  Xu, Yu Hua ^a   Wu, Qi Hui ^a   Wang, Jin Long ^a   Yao, Yu Dong ^b  

^a PLA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b Stevens Institute of Technology   (United States)

Author keywords

community cooperation mechanism; potential game; social optimum; spatial adaptive play; spatial resource sharing networks

Indexed keywords

EID: 84855403388     PISSN: 10016538     EISSN: 18619541     Source Type: Journal    
DOI: 10.1007/s11434-011-4775-6     Document Type: Article

References (24)

1. Scutari G, Palomar D P. MIMO cognitive radio: A game theoretical approach. IEEE Trans Signal Process, 2010, 58: 761-780.
2. Yang B, Feng G, Shen Y Y, et al. Channel-aware access for cognitive radio networks. IEEE Trans Veh Technol, 2009, 58: 3726-3737.
3. Maskery M, Krishnamurthy V, Zhao Q. Decentralized dynamic spectrum access for cognitive radios: Cooperative design of a non-cooperative game. IEEE Trans Commun, 2009, 57: 459-469.
4. Li H S, Han Z. Competitive spectrum access in cognitive radio networks: Graphical game and learning. In: Proceedings of the IEEE Wireless Communications and Networking Conference, Sydney, Australia, IEEE Communication Society Press, 2010. 1-5.
5. Ahmad S, Tekin C, Liu M, et al. Spectrum sharing as spatial congestion games. arXiv: 1011. 5384v1 [cs. GT].
6. Arnborg S. Efficient algorithms for combinatorial problems on graphs with bounded decomposability-A survey. BIT, 1985, 1: 1-23.
7. Myerson R. Game Theory: Analysis of Conflict. Cambridge, MA: Harvard University Press, 1991.
8. Kameda H, Altman E. Inefficient noncooperation in networking games of common-pool resources. IEEE J Sel Areas Commun, 2008, 26: 1260-1268.
9. Song Y, Zhang C, Fang Y. Joint channel and power allocation in wireless mesh networks: A game theoretical perspective. IEEE J Sel Areas Commun, 2008, 26: 1149-1159.
10. Chen L, Leneutre J. A game theoretic framework of distributed power and rate control in IEEE 802. 11 WLANs. IEEE J Sel Areas Commun, 2008, 26: 1128-1137.
11. Zhang Z, Shi J, Chen H H, et al. A cooperation strategy based on Nash bargaining solution in cooperative relay networks. IEEE Trans Veh Technol, 2008, 57: 2570-2577.
12. Xing Y, Chandramoul R. Human behavior inspired cognitive radio network design. IEEE Commun Mag, 2008, 46: 122-127.
13. Zhao Z, Peng Z, Zheng S, et al. Cognitive radio spectrum allocation using evolutionary algorithms. IEEE Trans Wireless Commun, 2009, 8: 4421-4425.
14. Renk T, Kloeck C, Burgkhardt D, et al. Bio-inspired algorithms for dynamic resource allocation in cognitive wireless networks. Mobile Netw Appl, 2008, 13: 431-441.
15. Su Y, Schaar M. Dynamic conjectures in random access networks using bio-inspired learning. IEEE J Sel Areas Commun, 2010, 28: 587-601.
16. Brock T C. Cooperation between non-kin in animal societies. Nature, 2009, 462: 51-57.
17. Nowak M A. Five rules for the evolution of cooperation. Science, 2006, 314: 1560-1563.
18. Santos F C, Santos M D, Pacheco J M. Social diversity promotes the emergence of cooperation in public goods games. Nature, 2008, 454: 213-249.
19. Monderer D, Shapley L S. Potential games. Games Econom Behav, 1996, 14: 124-143.
20. Nie N, Comaniciu C. Adaptive channel allocation spectrum etiquette for cognitive radio networks. Mobile Netw Appl, 2006, 11: 779-797.
21. Marden J, Arslan G, Shamma J. Joint strategy fictitious play with inertia for potential games. IEEE Trans Autom Control, 2009, 54: 208-220.
22. Young H P. Individual Strategy and Social Structure. Princeton: Princeton University Press, 1998.
23. Akyildiz I F, Lee W Y, Chowdhury K R. CRAHNs: Cognitive radio ad hoc networks. Ad Hoc Netw, 2009, 7: 811-836.
24. Stevenson C R, Chouinard G, Lei Z D, et al. IEEE 802. 22: The first cognitive radio wireless regional area network standard. IEEE Commun Mag, 2009, 47: 130-138.