Wireless Energy Transfer for Internet of Everything: Energy-Efficient Resource Allocation in Digital Twins
The objective of this research is to improve Wireless Energy Transfer (WET) reliability in the Internet of Things (IoT), this research aims to enhance the lifespan of wireless equipment and encourage ecologically responsible communica-tion. The technology of of WET based on IoT ecosystem Digital Twi...
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| Veröffentlicht in: | NeuroQuantology 2022-01, Vol.20 (9), p.3289 |
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| creator | K Raja Sravan Kumar Gopikrishnan, S |
| description | The objective of this research is to improve Wireless Energy Transfer (WET) reliability in the Internet of Things (IoT), this research aims to enhance the lifespan of wireless equipment and encourage ecologically responsible communica-tion. The technology of of WET based on IoT ecosystem Digital Twins (DTs) shows in what manner to maximize the energy effectiveness of massive MIMO systems. Because of MIMO’s ability to produce such narrow beams, other users will experience less interference. The BCD approach and fractional planning are used to maximize this MIMO system’s energy efficiency. The algorithm proposed throughput is best when the highest transmit power is 19dBm, according to simulation data |
| doi_str_mv | 10.14704/nq.2022.20.9.NQ44379 |
| format | Article |
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| ispartof | NeuroQuantology, 2022-01, Vol.20 (9), p.3289 |
| issn | 1303-5150 |
| language | eng |
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| source | EZB Electronic Journals Library |
| subjects | Algorithms Antennas Artificial intelligence Batteries Big Data Computer science Digital twins Energy consumption Energy efficiency Internet of Things Optimization Resource allocation Sensors Smart cities System effectiveness Wireless communications |
| title | Wireless Energy Transfer for Internet of Everything: Energy-Efficient Resource Allocation in Digital Twins |
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