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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2021.3
- 수록면
- 3 - 14 (12page)
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초록· 키워드
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Cognitive Radio network (CR) is a promising paradigm that helps the unlicensed user (Secondary User) to analyse the spectrum and coordinate the spectrum access to support the creation of common control channel (CCC). The cooperation of secondary users and broadcasting between them is done through transmitting messages in CCC. In case, if the control channels may get jammed and it may directly degrade the network’s performance and under such scenario jammers will devastate the control channels. Hopping sequences may be one of the predominant approaches and it may be used to fight against this problem to confront jammer. The jamming attack can be alleviated using one of the game modelling approach and in this proposed scheme stochastic games has been analysed with more single users to provide the flexible control channels against intrusive attacks by mentioning the states of each player, strategies ,actions and players reward. The proposed work uses a modern player action and better strategic view on game theoretic modelling is stochastic game theory has been taken in to consideration and applied to prevent the jamming attack in CR network. The selection of decision is based on Q learning approach to mitigate the jamming nodes using the optimal MDP decision process.
목차
Abstract
Ⅰ. INTRODUCTION
Ⅱ. SYSTEM MODELS
Ⅲ. STOCHASTIC GAME
Ⅳ. Q learning Algorithm
Ⅴ. WOLF Q learning Algorithm
Ⅵ. CONCLUSION
Ⅵ. References
참고문헌 (41)
참고문헌 신청
SiamakDastangoo / 2016 / Competing Cognitive Resilient Networks / IEEE Transactions on Cognitive Communications and Networking 2(1)
Brandon F. Lo / 2012 / Multiagent Jamming-Resilient Control Channel Game for Cognitive Radio Ad Hoc Networks / IEEE International Conference on Communication
AmrutaP.Chaudhary / 2016 / A Novel Approach to Secure Cognitive Radio Network using Dynamic Quiet Period Scheduling for Detection Of Control Channel Jamming Attack / International Journal of Innovative and Emerging Research in Engineering 3(1)
FetenSlimeni / 2015 / Jamming mitigation in cognitive radio networks using a modified Q-learning algorithm / IEEE Conference Publications
Changlong Chen / 2013 / A Game-Theoretical Anti-Jamming Scheme for Cognitive Radio Networks / IEEE Networks 27(3)
Brandon F. Lo / 2012 / Multiagent Jamming-Resilient Control Channel Game for Cognitive Radio Ad Hoc Networks / IEEE International Conference on Communication
AmrutaP.Chaudhary / 2016 / A Novel Approach to Secure Cognitive Radio Network using Dynamic Quiet Period Scheduling for Detection Of Control Channel Jamming Attack / International Journal of Innovative and Emerging Research in Engineering 3(1)
FetenSlimeni / 2015 / Jamming mitigation in cognitive radio networks using a modified Q-learning algorithm / IEEE Conference Publications
Changlong Chen / 2013 / A Game-Theoretical Anti-Jamming Scheme for Cognitive Radio Networks / IEEE Networks 27(3)
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