The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
Wireless Charging Techniques for UAVs: A Review, Reconceptualization, and Extension
Open accessAbstract
An important application in the growing field of unmanned aerial vehicles (UAVs) is in monitoring and inspection of high voltage power lines and electrical networks. The UAV-based monitoring method will save energy, simplify access to impassable or remote areas, reduce inspection cost, and automate the inspection process. However, the battery capacity of a medium scale drone limits their travel distance and mission duration. It is crucial to improve the energy feeding system of drones and overcome the battery capacity problem to foster the use of drones for routine monitoring operations. In this study, we focus on presenting wireless techniques available for drone mission duration improvement as well as discuss and practically examine the most feasible and reliable technique to charge UAV using power lines.
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Cites
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Cited by
UAV Communications for 5G and Beyond: Recent Advances and Future Trends
Li, B., Fei, Z., & Zhang, Y. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2887086 · Cited by 1,377
Towards the Unmanned Aerial Vehicles (UAVs): A Comprehensive Review
Mohsan, S. A. H., Khan, M. A., Noor, F., Ullah, I., & Alsharif, M. H. (2022) · Drones · doi:10.3390/drones6060147 · Cited by 916
A Review on UAV Wireless Charging: Fundamentals, Applications, Charging Techniques and Standards
Chittoor, P. K., Chokkalingam, B., & Mihet-Popa, L. (2021) · IEEE Access · doi:10.1109/access.2021.3077041 · Cited by 269
Drones’ Edge Intelligence Over Smart Environments in B5G: Blockchain and Federated Learning Synergy
Alsamhi, S. H., Almalki, F. A., Afghah, F., Hawbani, A., Shvetsov, A. V., Lee, B., & Song, H. (2022) · IEEE Transactions on Green Communications and Networking · doi:10.1109/tgcn.2021.3132561 · Cited by 139
Air-Ground Integrated Mobile Edge Networks: A Survey
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Metadata
- Authors
- Lu, M., Bagheri, M., James, A. P., & Phung, T.
- Venue
- IEEE Access
- Published
- 2018
- Volume
- 6
- Pages
- 29865-29884
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2806940739
- Cited by
- 257
- References
- 53
- FWCI
- 10.73
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.