Reputation-Based Collaborative Spectrum Sensing Scheme in Cognitive Radio Networks
Reputation-Based Collaborative Spectrum Sensing Scheme in Cognitive Radio Networks作者机构:Department of Electronic EngineeringShanghai Jiaotong University ARCON Corporation Zhongxing Telecommunication Equipment Corporation
出 版 物:《Journal of Shanghai Jiaotong university(Science)》 (上海交通大学学报(英文版))
年 卷 期:2011年第16卷第6期
页 面:641-647页
核心收录:
学科分类:070208[理学-无线电物理] 07[理学] 0702[理学-物理学]
基 金:the National Natural Science Foundation of China (No.60802058) the SMC-"Chen Xing" Young Scholar Foundation of Shanghai Jiaotong University
主 题:cognitive radio (CR) collaborative spectrum sensing reputation-based scheme security
摘 要:Collaborative spectrum sensing is proposed to improve the detection performance in cognitive radio (CR) networks. However, most of the current collaborative sensing schemes are vulnerable to the interference of the malicious secondary users (SUs). In this paper we propose a reputation-based collaborative spectrum sensing scheme to improve the security of cooperative sensing by mitigating the impacts of misbehaviors. The fusion center calculates the reputation rating of each SU according to their history reports to weight their sensing results in the proposed scheme. We analyze and evaluate the performance of the proposed scheme and its advantages over previous schemes in expansibility and integrity. Simulation results show that the proposed scheme can minimize the harmful influence from malicious SUs.