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http://dx.doi.org/10.7472/jksii.2019.20.2.1

Enhanced Energy-efficient Spectrum Sensing Scheme in Cognitive Radio Networks  

Shin, Younghwan (School of Electrical and Electronic Engineering, Yonsei University)
Seo, Sunho (School of Electrical and Electronic Engineering, Yonsei University)
Chung, Jong-Moon (School of Electrical and Electronic Engineering, Yonsei University)
Publication Information
Journal of Internet Computing and Services / v.20, no.2, 2019 , pp. 1-7 More about this Journal
Abstract
The latest mobile applications such as augmented reality, virtual reality, and deep learning can be used efficiently in various fields such as emergency management and game. Accordingly the corresponding applications have been developed for these purposes. However modern mobile applications such as augmented reality and virtual reality increase the energy burden on mobile devices. In order for mobile devices to focus their energy on the latest mobile applications, energy consumption should be minimized for communication and networking, such as cognitive radio. In this paper, we propose a method to reduce the energy consumption of Centralized Cooperative Spectrum Sensing (CCSS) scheme in cognitive radio by devising Stop Reporting Algorithm (SRA). Simulation results show that SRA can reduce energy consumption of mobile devices using cognitive radio.
Keywords
Cognitive Radio; Augmented Reality; Virtual Reality;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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