NDLI: Clustering scheme for cooperative spectrum sensing in cognitive radio networks

Content Provider	IET Digital Library
Author	Jiao, Yan Yin, Peitong Joe, Inwhee
Abstract	For cognitive radio (CR), cooperation in spectrum sensing (SS) using energy detection can increase the detection of primary user signal. However, it also brings extra cooperative sensing overhead due to mutual exchange of large information among CR users. To reduce cooperative sensing overhead and improve sensing performance, the authors propose a novel clustering scheme consists of three stages: pruning, selecting, and clustering. In pruning stage, the CR users without sensing results will not join the following two stages; in the subsequent selecting stage, the CR user who has the most reliable sensing data is selected as the cluster header. For CR network, channel availability is an essence cause of cluster change. Hence, the authors proposed cluster constructing based on SS results correlation in the clustering stage. The simulation results show that the proposed clustering scheme not only has low overhead but also suit to perform in the low signal noise ratio environment.
Starting Page	1590
Ending Page	1595
Page Count	6
ISSN	17518628
Volume Number	10
e-ISSN	17518636
Issue Number	Issue 13, Sep (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/10/13
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2015.0865
Journal	IET Communications
Publisher Date	2016-09-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Channel Availability Cluster Header Clustering Scheme Clustering Stage Cognitive Radio Cognitive Radio Network Cooperative Communication Cooperative Sensing Overhead Cooperative Spectrum Sensing CR Network CR User Energy Detection Legislation, Frequency Allocation And Spectrum Pollution Primary User Signal Detection Pruning Stage Radio Link And Equipment Radio Spectrum Management Reliability Selecting Stage Sensing Data Reliability Signal Detection Signal Noise Ratio Environment Telecommunication Network Reliability
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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