Optimization of the Resource for Cognitive Radio RF Harvesting IoT Networks 


Vol. 44,  No. 5, pp. 867-870, May  2019
10.7840/kics.2019.44.5.867


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  Abstract

In this paper, we analyze the performance of the network throughput in the multi-channel network environments in which cooperative sensing is used. The network consists of the cognitive wireless IoT sensors which are capable to harvest RF energy. We optimize the sensing time and verify the network throughput / energy harvesting performance by using Monte-Carlo simulation.

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  Cite this article

[IEEE Style]

D. Seo, H. Nam, J. Oh, S. Choi, "Optimization of the Resource for Cognitive Radio RF Harvesting IoT Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 5, pp. 867-870, 2019. DOI: 10.7840/kics.2019.44.5.867.

[ACM Style]

Dongho Seo, Haewoon Nam, Janghoon Oh, and Seyeong Choi. 2019. Optimization of the Resource for Cognitive Radio RF Harvesting IoT Networks. The Journal of Korean Institute of Communications and Information Sciences, 44, 5, (2019), 867-870. DOI: 10.7840/kics.2019.44.5.867.

[KICS Style]

Dongho Seo, Haewoon Nam, Janghoon Oh, Seyeong Choi, "Optimization of the Resource for Cognitive Radio RF Harvesting IoT Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 5, pp. 867-870, 5. 2019. (https://doi.org/10.7840/kics.2019.44.5.867)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880