Wireless Energy Harvesting for Internet-of-Things Devices Using Directional Antennas
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Future Internet |
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| Online Access: | https://www.mdpi.com/1999-5903/15/9/301 |
| _version_ | 1797579954053971968 |
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| author | Hsiao-Ching Chang Hsing-Tsung Lin Pi-Chung Wang |
| author_facet | Hsiao-Ching Chang Hsing-Tsung Lin Pi-Chung Wang |
| author_sort | Hsiao-Ching Chang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T22:44:21Z |
| format | Article |
| id | doaj.art-6b02e95c770c4a42817b6fe82971858d |
| institution | Directory Open Access Journal |
| issn | 1999-5903 |
| language | English |
| last_indexed | 2024-03-10T22:44:21Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj.art-6b02e95c770c4a42817b6fe82971858d2023-11-19T10:49:18ZengMDPI AGFuture Internet1999-59032023-09-0115930110.3390/fi15090301Wireless Energy Harvesting for Internet-of-Things Devices Using Directional AntennasHsiao-Ching Chang0Hsing-Tsung Lin1Pi-Chung Wang2Department of Computer Science and Engineering, National Chung Hsing University, Taichung 402, TaiwanDepartment of Computer Science and Engineering, National Chung Hsing University, Taichung 402, TaiwanDepartment of Computer Science and Engineering, National Chung Hsing University, Taichung 402, TaiwanWith 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.https://www.mdpi.com/1999-5903/15/9/301Internet of Thingsenergy harvestingbeamformingdirectional antenna |
| spellingShingle | Hsiao-Ching Chang Hsing-Tsung Lin Pi-Chung Wang Wireless Energy Harvesting for Internet-of-Things Devices Using Directional Antennas Future Internet Internet of Things energy harvesting beamforming directional antenna |
| title | Wireless Energy Harvesting for Internet-of-Things Devices Using Directional Antennas |
| title_full | Wireless Energy Harvesting for Internet-of-Things Devices Using Directional Antennas |
| title_fullStr | Wireless Energy Harvesting for Internet-of-Things Devices Using Directional Antennas |
| title_full_unstemmed | Wireless Energy Harvesting for Internet-of-Things Devices Using Directional Antennas |
| title_short | Wireless Energy Harvesting for Internet-of-Things Devices Using Directional Antennas |
| title_sort | wireless energy harvesting for internet of things devices using directional antennas |
| topic | Internet of Things energy harvesting beamforming directional antenna |
| url | https://www.mdpi.com/1999-5903/15/9/301 |
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