Dual-band RF energy harvesting for low-power IoT devices-Reference-Cited by-同舟云学术

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Dual-band RF energy harvesting for low-power IoT devices

Published:2024-02-24 Issue:4 Volume:30 Page:2511-2527
ISSN:1022-0038
Container-title:Wireless Networks
language:en
Short-container-title:Wireless Netw

Author:

Zhao Jumin,Song Jiajian,Li Deng-ao,Li Yajun,Cheng Jie

Funder

National Natural Science Foundation of China

National Major Scientific Research Instrument Development Project of China

Special Project for Guiding the Transformation of Scientific and Technological Achievements in Shanxi Province

Research and Development Project of Key Core and Common Technology of Shanxi Province

Key Research and Development Projects of Shanxi Province

Fundamental Research Program of Shanxi Province

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11276-024-03685-6.pdf

Reference33 articles.

1. Ibrahim, A. A. A., Nisar, K., Hzou, Y. K., & Welch, I. (2019). Review and analyzing RFID technology tags and applications. In 13th IEEE international conference on application of information and communication technologies (AICT) (pp. 329–332). https://doi.org/10.1109/AICT47866.2019.8981779

2. Casella, G., Bigliardi, B., & Bottani, E. (2022). The evolution of RFID technology in the logistics field: A review. In 3rd International conference on industry 4.0 and smart manufacturing (ISM). Procedia computer science (vol. 200, pp. 1582–1592). https://doi.org/10.1016/j.procs.2022.01.359

3. Yao, C., Liu, Y., Wei, X., Wang, G., & Gao, F. (2020). Backscatter technologies and the future of internet of things: Challenges and opportunities. Intelligent and Networks Converged, 1(2), 170–180. https://doi.org/10.23919/ICN.2020.0013

4. Sah, D. K., & Amgoth, T. (2020). Renewable energy harvesting schemes in wireless sensor networks: A survey. Information Fusion, 63, 223–247. https://doi.org/10.1016/j.inffus.2020.07.005

5. Li, J., Siddula, M., Cheng, X., Cheng, W., Tian, Z., & Li, Y. (2020). Approximate data aggregation in sensor equipped IoT networks. Tsinghua Science and Technology, 25(1), 44–55. https://doi.org/10.26599/TST.2019.9010023

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