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


PDF
  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.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  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)

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880