Evolutionary Beamforming Optimization for Radio Frequency Charging in Wireless Rechargeable Sensor Networks

Evolutionary Beamforming Optimization for Radio Frequency Charging in Wireless Rechargeable Sensor Networks

This paper investigates how to efficiently charge sensor nodes in a wireless rechargeable sensor network (WRSN) with radio frequency (RF) chargers to make the network sustainable. An RF charger is assumed to be equipped with a uniform circular array (UCA) of 12 antennas with the radius λ, where λ is...

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Bibliographic Details
Main Authors: Ke-Han Yao, Jehn-Ruey Jiang, Chung-Hsien Tsai, Zong-Syun Wu
Format: Article
Language:English
Published: MDPI AG 2017-08-01
Series:Sensors
Subjects:
RF charging
beamforming
antenna array
evolutionary algorithm
evolution strategy
Online Access:https://www.mdpi.com/1424-8220/17/8/1918

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https://www.mdpi.com/1424-8220/17/8/1918

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