On Sampling Time Maximization in Wireless Powered Internet of Things

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Yang, Changlin, et al. “On Sampling Time Maximization in Wireless Powered Internet of Things”. IEEE Transactions on Green Communications and Networking, vol. 3, no. 3, 2019, pp. 641-50, https://doi.org/10.1109/tgcn.2019.2907913.
Yang, C., Chin, K.-W., He, T., & Liu, Y. (2019). On Sampling Time Maximization in Wireless Powered Internet of Things. IEEE Transactions on Green Communications and Networking, 3(3), 641-650. https://doi.org/10.1109/tgcn.2019.2907913
Yang C, Chin KW, He T, Liu Y. On Sampling Time Maximization in Wireless Powered Internet of Things. IEEE Transactions on Green Communications and Networking. 2019;3(3):641-50.
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Refrences
Title Journal Journal Categories Citations Publication Date
Reincarnation in the ambiance: Devices and networks with energy harvesting 2014
Reinforcement learning in continuous action spaces through sequential Monte Carlo methods 2008
Reinforcement learning in continuous action spaces through sequential Monte Carlo methods 1994
Reinforcement learning in continuous action spaces through sequential Monte Carlo methods 1997
10.1109/MCOM.2015.7081086
Citations
Title Journal Journal Categories Citations Publication Date
The Applicability of Reinforcement Learning Methods in the Development of Industry 4.0 Applications

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  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics
  • Science: Science (General)
  • Science: Mathematics
 7 2021
Citations Analysis
Category Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science1
Science: Mathematics1
Science: Science (General)1
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 1 is the most commonly referenced area in studies that cite this article.