• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/
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Enhanced Energy-efficient Spectrum Sensing Scheme in Cognitive Radio Networks


Younghwan Shin, Sunho Seo, Jong-Moon Chung, Journal of Internet Computing and Services, Vol. 20, No. 2, pp. 1-7, Apr. 2019
10.7472/jksii.2019.20.2.1, Full Text:  HTML
Keywords: cognitive radio, Augmented Reality, Virtual reality

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.


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Cite this article
[APA Style]
Shin, Y., Seo, S., & Chung, J. (2019). Enhanced Energy-efficient Spectrum Sensing Scheme in Cognitive Radio Networks. Journal of Internet Computing and Services, 20(2), 1-7. DOI: 10.7472/jksii.2019.20.2.1.

[IEEE Style]
Y. Shin, S. Seo, J. Chung, "Enhanced Energy-efficient Spectrum Sensing Scheme in Cognitive Radio Networks," Journal of Internet Computing and Services, vol. 20, no. 2, pp. 1-7, 2019. DOI: 10.7472/jksii.2019.20.2.1.

[ACM Style]
Younghwan Shin, Sunho Seo, and Jong-Moon Chung. 2019. Enhanced Energy-efficient Spectrum Sensing Scheme in Cognitive Radio Networks. Journal of Internet Computing and Services, 20, 2, (2019), 1-7. DOI: 10.7472/jksii.2019.20.2.1.