NDLI: Reputation-based hierarchically cooperative spectrum sensing scheme in cognitive radio networks

Content Provider	IEEE Xplore Digital Library
Author	Huifang, Chen Lei, Xie Xiong, Ni
Copyright Year	2013
Abstract	Cooperative spectrum sensing in cognitive radio is investigated to improve the detection performance of Primary User (PU). Meanwhile, cluster-based hierarchical cooperation is introduced for reducing the overhead as well as maintaining a certain level of sensing performance. However, in existing hierarchically cooperative spectrum sensing algorithms, the robustness problem of the system is seldom considered. In this paper, we propose a reputation-based hierarchically cooperative spectrum sensing scheme in Cognitive Radio Networks (CRNs). Before spectrum sensing, clusters are grouped based on the location correlation coefficients of Secondary Users (SUs). In the proposed scheme, there are two levels of cooperation, the first one is performed within a cluster and the second one is carried out among clusters. With the reputation mechanism and modified MAJORITY rule in the second level cooperation, the proposed scheme can not only relieve the influence of the shadowing, but also eliminate the impact of the PU emulation attack on a relatively large scale. Simulation results show that, in the scenarios with deep-shadowing or multiple attacked SUs, our proposed scheme achieves a better tradeoff between the system robustness and the energy saving compared with those conventionally cooperative sensing schemes.
Starting Page	12
Ending Page	25
Page Count	14
File Size	3167284
File Format	PDF
ISSN	16735447
Volume Number	11
Issue Number	1
Language	English
Publisher	China Communications Magazine Co. Ltd.
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Spread spectrum management Shadow mapping Robustness Correlation Clustering methods Cognitive radio Correlation coefficient reputation cognitive radio networks cooperative spectrum sensing cluster location correlation
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Electrical and Electronic Engineering

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