Cognitive radio networking and security: a game-theoretic view a game-theoretic view K. J. Ray Liu, Beibei Wang.
Material type:
TextPublisher: Cambridge ; New York : Cambridge University Press, 2011Description: xvi, 601 p. : ill. ; 24 cmISBN: 9780521762311Subject(s): Cognitive radio networks | Game theory | Computer networks -- Security measures | Wireless communication systemsDDC classification: 621.384 Online resources: Cover image | Item type | Current location | Home library | Collection | Shelving location | Call number | Status | Date due | Barcode | Item holds |
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Book
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Central Library (CL) | Central Library (CL) | NFIC | General Stacks | 621.384 LIU (Browse shelf) | Available | SEECS011875 |
Includes bibliographical references (p. [570]-597) and index.
Machine generated contents note: Part I. Cognitive Radio Communications and Cooperation: 1. Introduction to cognitive radios; 2. Game theory for cognitive radio networks; 3. Markov models for dynamic spectrum allocation; 4. Repeated open spectrum sharing game; 5. Pricing game for dynamic spectrum allocation; 6. A multi-winner cognitive spectrum auction game; 7. Evolutionary cooperative spectrum sensing game; 8. Anti-jamming stochastic game; 9. Opportunistic multiple access for cognitive networks; Part II. Resource Awareness and Learning: 10. Reinforcement learning for energy-aware communications; 11. Repeated game and learning for packet forwarding; 12. Dynamic pricing games for routing; 13. Connectivity-aware network lifetime optimization; 14. Connectivity-aware network maintenance and repair; Part III. Securing Mechanism and Strategies: 15. Trust modeling and evaluation; 16. Defense against routing disruptions; 17. Defense against injecting traffic attacks; 18. Attack-resistant cooperation stimulation; 19. Optimal strategies for cooperation stimulation; 20. Belief evaluation for cooperation enforcement; 21. Defense against insider attacks; 22. Secure cooperation stimulation under noise and imperfect monitoring.
"Recent increases in demand for cognitive radio technology have driven researchers and technologists to rethink the implications of the traditional engineering designs and approaches to communications and networking. One issue is that the traditional thinking is that one should try to have more bandwidth, more resources, and more of everything, while we have come to the realization that the problem is not that we don't have enough bandwidth or resources. It is rather that the bandwidth/resource utilization rates in many cases are too low. For examples, the TV bandwidth utilization nowadays in the USA is less than 6%, which is quite similar to that in most developed countries"--
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