A Spectrum Sensing Method Based on Signal Feature and Clustering Algorithm in Cognitive Wireless Multimedia Sensor Networks. (26th October 2017)

• Record Type: Journal Article
• Authors: Zhang, Yongwei; Wan, Pin; Zhang, Shunchao; Wang, Yonghua; Li, Nan
• Other Names: Pan Zhaoqing Academic Editor.
• Is Part Of: Advances in multimedia. Volume 2017(2017)
• Publication Date: 2017-10-26
• Subjects: Multimedia systems -- Periodicals; Computer networks -- Periodicals; Multimédia; Réseaux d'ordinateurs; Computer networks; Multimedia systems; Periodicals; 006.7
• DOI: 10.1155/2017/2895680
• Languages: English
• ISSNs: 1687-5680

Abstract

Abstract : 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.