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Article

Optimal Time Assignment Policy for Maximizing Throughput in Cognitive Sensor Network with Energy Harvesting

by *,† and *,†
The 63rd Institute, National University of Defense Technology, Nanjing 210007, China
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Sensors 2018, 18(8), 2540; https://doi.org/10.3390/s18082540
Received: 7 June 2018 / Revised: 26 July 2018 / Accepted: 26 July 2018 / Published: 3 August 2018
(This article belongs to the Special Issue Advanced Technologies on Green Radio Networks)
A cognitive sensor network with energy harvesting (EH-CSN) is a promising paradigm to address the issues both in spectrum efficiency and in energy efficiency. The cognitive sensors (CSs) equipped with energy harvesting devices are assumed to operate in a harvesting-sensing-transmission mode and permitted to access the idle licensed frequency bands without causing any harmful jamming to the primary user. By identifying the time fractions of harvesting, sensing, and transmission, we can discuss some design considerations for the EH-CSN. In the meantime, considering the possibility that the primary user may reoccupy the idle channel during the CS’s data transmission duration, we formulate an optimization problem to maximize the average throughput of EH-CSN under a collision constraint and an energy constraint. After deriving the lower and upper bounds of the time fraction for energy harvesting, the uniqueness and existence of the optimal time fraction set have been proved. Finally, our theoretical analysis is also verified through numerical simulations. View Full-Text
Keywords: energy harvesting; cognitive sensor network; time assignment; spectrum sensing energy harvesting; cognitive sensor network; time assignment; spectrum sensing
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MDPI and ACS Style

Wu, H.; Chen, Y. Optimal Time Assignment Policy for Maximizing Throughput in Cognitive Sensor Network with Energy Harvesting. Sensors 2018, 18, 2540. https://doi.org/10.3390/s18082540

AMA Style

Wu H, Chen Y. Optimal Time Assignment Policy for Maximizing Throughput in Cognitive Sensor Network with Energy Harvesting. Sensors. 2018; 18(8):2540. https://doi.org/10.3390/s18082540

Chicago/Turabian Style

Wu, Hao, and Yong Chen. 2018. "Optimal Time Assignment Policy for Maximizing Throughput in Cognitive Sensor Network with Energy Harvesting" Sensors 18, no. 8: 2540. https://doi.org/10.3390/s18082540

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