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A Trust Game Model and Algorithm for Cooperative Spectrum Sensing in Cognitive Radio Networks

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJFGCN) 바로가기
  • 간행물
    International Journal of Future Generation Communication and Networking 바로가기
  • 통권
    Vol.8 No.3 (2015.06)바로가기
  • 페이지
    pp.1-14
  • 저자
    Wang Zhendong, Wang Huiqiang, Zhu Qiang
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A249643

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원문정보

초록

영어
The existence of malicious secondary users will bring damage to the performance of cooperative spectrum sensing and spectrum access in cognitive radio networks, so effectively curbing malicious behavior of secondary users become the key to success for cooperative spectrum sensing mechanism. Inspired by economics of repeated game theory, a trust game model and algorithm of distributed cooperative spectrum sensing oriented to malicious secondary users named FRTrust is proposed. In FRTrust, the reputation status is used to describe the performance of a secondary user in cooperative spectrum sensing process. It encourages secondary users to choose positive and honest behavior strategies for greater and long term benefits. Simultaneously, a ‘differentiation’ punishment mechanism is presented to respond malicious behaviors of secondary users. By this way, the ‘first offender’ secondary users and the ‘recidivist' secondary users can be distinguished effectively. If a secondary user departs from the normal times in its life period, it will be punished superimposed. Simulation results show that the FRTrust algorithm can encourage secondary users to participate in spectrum sensing in a cooperative attitude, improve the transaction success ratio of cooperative spectrum sensing, and guarantee the fairness and spectrum access performance for cognitive radio networks.

목차

Abstract
 1. Introduction
 2. Hypotheses
 3. Cooperative Spectrum Sensing Game
  3.1 Cooperative Spectrum Sensing Scenario
  3.2 Cooperative Spectrum Sensing Game and its Analysis
 4. Distributed Cooperative Spectrum Sensing Trust Model
  4.1 Definitions and Descriptions of Secondary Users’ Reputation Features
  4.2 Punishment Mechanism based on Reputation
  4.3 FRTrust Algorithm
  4.4 Nash Equilibrium Analysis
 5. Experimental Results Analysis
  5.1 Comparison of Reputation Status for Secondary Users
  5.2 Comparison of Average Gain for Secondary Users
  5.3 Transaction Success Ratio for Secondary Users
 6. Conclusions
 References

키워드

Cognitive radio networks Cooperative spectrum sensing Game theory Reputation

저자

  • Wang Zhendong [ Faculty of Information Engineering, Jiangxi University of Science and Technology ]
  • Wang Huiqiang [ College of Computer Science and Technology, Harbin Engineering University ]
  • Zhu Qiang [ College of Computer Science and Technology, Harbin Engineering University ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJFGCN) [Science & Engineering Research Support Center, Republic of Korea(IJFGCN)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Future Generation Communication and Networking
  • 간기
    격월간
  • pISSN
    2233-7857
  • 수록기간
    2008~2016
  • 십진분류
    KDC 505 DDC 605

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