Wireless Energy Harvesting for Internet-of-Things Devices Using Directional Antennas

Hsiao-Ching Chang, Hsing-Tsung Lin and Pi-Chung Wang ()
Additional contact information
Hsiao-Ching Chang: Department of Computer Science and Engineering, National Chung Hsing University, Taichung 402, Taiwan
Hsing-Tsung Lin: Department of Computer Science and Engineering, National Chung Hsing University, Taichung 402, Taiwan
Pi-Chung Wang: Department of Computer Science and Engineering, National Chung Hsing University, Taichung 402, Taiwan

Future Internet, 2023, vol. 15, issue 9, 1-24

Abstract: With the rapid development of the Internet of Things, the number of wireless devices is increasing rapidly. Because of the limited battery capacity, these devices may suffer from the issue of power depletion. Radio frequency (RF) energy harvesting technology can wirelessly charge devices to prolong their lifespan. With the technology of beamforming, the beams generated by an antenna array can select the direction for wireless charging. Although a good charging-time schedule should be short, energy efficiency should also be considered. In this work, we propose two algorithms to optimize the time consumption for charging devices. We first present a greedy algorithm to minimize the total charging time. Then, a differential evolution (DE) algorithm is proposed to minimize the energy overflow and improve energy efficiency. The DE algorithm can also gradually increase fully charged devices. The experimental results show that both the proposed greedy and DE algorithms can find a schedule of a short charging time with the lowest energy overflow. The DE algorithm can further improve the performance of data transmission to promote the feasibility of potential wireless sensing and charging applications by reducing the number of fully charged devices at the same time.

Keywords: Internet of Things; energy harvesting; beamforming; directional antenna (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1999-5903/15/9/301/pdf (application/pdf)
https://www.mdpi.com/1999-5903/15/9/301/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jftint:v:15:y:2023:i:9:p:301-:d:1232080

Access Statistics for this article

Future Internet is currently edited by Ms. Grace You

More articles in Future Internet from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().