Evolutionary Beamforming Optimization for Radio Frequency Charging in Wireless Rechargeable Sensor Networks
| Autor: | Zong Syun Wu, Ke Han Yao, Chung-Hsien Tsai, Jehn-Ruey Jiang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Beamforming
Engineering Main lobe Evolutionary algorithm RF charging 02 engineering and technology lcsh:Chemical technology 01 natural sciences Biochemistry Article Analytical Chemistry beamforming Antenna array evolution strategy antenna array evolutionary algorithm Side lobe 0202 electrical engineering electronic engineering information engineering Electronic engineering lcsh:TP1-1185 Electrical and Electronic Engineering Instrumentation business.industry 010401 analytical chemistry 020206 networking & telecommunications Atomic and Molecular Physics and Optics 0104 chemical sciences Radio frequency Evolution strategy business Wireless sensor network |
| Zdroj: | Sensors, Vol 17, Iss 8, p 1918 (2017) Sensors; Volume 17; Issue 8; Pages: 1918 Sensors (Basel, Switzerland) |
| ISSN: | 1424-8220 |
| Popis: | 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 the RF wavelength. The UCA can steer most RF energy in a target direction to charge a specific WRSN node by the beamforming technology. Two evolutionary algorithms (EAs) using the evolution strategy (ES), namely the Evolutionary Beamforming Optimization (EBO) algorithm and the Evolutionary Beamforming Optimization Reseeding (EBO-R) algorithm, are proposed to nearly optimize the power ratio of the UCA beamforming peak side lobe (PSL) and the main lobe (ML) aimed at the given target direction. The proposed algorithms are simulated for performance evaluation and are compared with a related algorithm, called Particle Swarm Optimization Gravitational Search Algorithm-Explore (PSOGSA-Explore), to show their superiority. |
| Databáze: | OpenAIRE |
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