Rectenna Designs for Energy Harvesting IoT Devices: Overview of Current Trends and Future Directions

Author:

Umeonwuka Obumneme Obiajulu1,Adejumobi Babatunde Segun2,Shongwe Thokozani3

Affiliation:

1. University of Johannesburg,Dept. of Elect. and Electr. Engr.,Johannesburg,South Africa

2. University of Johannesburg,Dept. of Elect. and Electr. Engr.,Johannesburg,South Africa,2092

3. University of Johannesburg Doornfontein Campus,Dept. of Elect. and Electr. Engr.,Johannesburg,2028

Funder

University of Johannesburg Library

Publisher

IEEE

Reference28 articles.

1. Internet of Things

2. Rectenna designs for rf energy harvesting system: A review;ahmed;Int J Commun Antenna Propag (I Re CAP),2016

3. Cognitive radio spectrum sharing techniques: A review;kaur;International Journal of Computer Science and Information Technologies,2015

4. COMPACT FLAT DIPOLE RECTENNA FOR IOT APPLICATIONS

5. Rectenna Systems for RF Energy Har-vesting and Wireless Power Transfer;aboualalaa;Recent Wireless Power Transfer Technologies,2020

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Deep Learning-Assisted Energy Prediction Modeling for Energy Harvesting in Wireless Cognitive Radio Devices;IEEE Access;2024

2. An XGBoost Machine Learning Technique for RF Energy Harvesting Prediction in IP-enabled IoT Devices;IEEE EUROCON 2023 - 20th International Conference on Smart Technologies;2023-07-06

3. Compact & Efficient Single Band Antenna for 2.4GHz Rectenna in IOT Applications;2023 2nd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA);2023-06-16

4. Deep Learning Algorithms for RF Energy Harvesting Cognitive IoT Devices: Applications, Challenges and Opportunities;2022 International Conference on Electrical, Computer and Energy Technologies (ICECET);2022-07-20

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