Work

A Spectrum Sensing Method Based on Signal Feature and Clustering Algorithm in Cognitive Wireless Multimedia Sensor Networks

Year: 2017

Type: article

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.

Source: Advances in Multimedia

DOI: 10.1155/2017/2895680

Authors: Yongwei Zhang, Pin Wan, Shunchao Zhang, Yonghua Wang, Nan Li

Institutions: Guangdong University of Technology, Sun Yat-sen University

Language: English

Topic: Cognitive Radio Networks and Spectrum Sensing

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,000

Funders: Ministry of Education of the People's Republic of China, Science and Technology Planning Project of Guangdong Province, Division of Graduate Education