A Spectrum Sensing Method Based on Signal Feature and Clustering Algorithm in Cognitive Wireless Multimedia Sensor Networks
Joint Authors
Zhang, Yongwei
Zhang, Shunchao
Li, Nan
Wang, Yonghua
Wan, Pin
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-26
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
In order to solve the problem of difficulty in determining the threshold in spectrum sensing technologies based on the random matrix theory, a spectrum sensing method based on clustering algorithm and signal feature is proposed for Cognitive Wireless Multimedia Sensor Networks.
Firstly, the wireless communication signal features are obtained according to the sampling signal covariance matrix.
Then, the clustering algorithm is used to classify and test the signal features.
Different signal features and clustering algorithms are compared in this paper.
The experimental results show that the proposed method has better sensing performance.
American Psychological Association (APA)
Zhang, Yongwei& Wan, Pin& Zhang, Shunchao& Wang, Yonghua& Li, Nan. 2017. A Spectrum Sensing Method Based on Signal Feature and Clustering Algorithm in Cognitive Wireless Multimedia Sensor Networks. Advances in Multimedia،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1122335
Modern Language Association (MLA)
Zhang, Yongwei…[et al.]. A Spectrum Sensing Method Based on Signal Feature and Clustering Algorithm in Cognitive Wireless Multimedia Sensor Networks. Advances in Multimedia No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1122335
American Medical Association (AMA)
Zhang, Yongwei& Wan, Pin& Zhang, Shunchao& Wang, Yonghua& Li, Nan. A Spectrum Sensing Method Based on Signal Feature and Clustering Algorithm in Cognitive Wireless Multimedia Sensor Networks. Advances in Multimedia. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1122335
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1122335