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Swarms of Unmanned Aerial Vehicles — A Survey
Open accessAbstract
The unmanned aerial vehicles or drones come in a great diversity depending upon the basic frameworks with their particular specifications. The purpose of this study is to analyse the core characteristics of the swarming drones and measure the public awareness levels with respect to these swarms. To achieve these goals, the functionality, problems, and importance of drones are highlighted. The results of an experimental survey from a bunch of academic population are also presented, which demonstrate that the swarms of drones are fundamental future agenda and will be adopted with the passage of time.
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Cited by
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 Survey on the Convergence of Edge Computing and AI for UAVs: Opportunities and Challenges
McEnroe, P., Wang, S., & Liyanage, M. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3176400 · Cited by 482
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
Metadata
- Authors
- Tahir, A., Böling, J., Haghbayan, M.-H., Toivonen, H. T., & Plosila, J.
- Venue
- Journal of Industrial Information Integration
- Publisher
- Elsevier BV
- Published
- 2019-12
- Volume
- 16
- Pages
- 100106
- ISSN
- 2452-414X (ISSN-L)
- OpenAlex
- W2978626209
- Cited by
- 344
- References
- 0
- FWCI
- 28.00
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- CoChat. (2026). Citation check: Swarms of Unmanned Aerial Vehicles — A Survey. https://app.cochat.ai/papers/10.1016/j.jii.2019.100106
- The paper
- Tahir, A., Böling, J., Haghbayan, M.-H., Toivonen, H. T., & Plosila, J. (2019). Swarms of Unmanned Aerial Vehicles — A Survey. Journal of Industrial Information Integration. https://doi.org/10.1016/j.jii.2019.100106
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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.
