The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Internet of Drones
Open accessAbstract
The Internet of Drones (IoD) is a layered network control architecture designed mainly for coordinating the access of unmanned aerial vehicles to controlled airspace, and providing navigation services between locations referred to as nodes. The IoD provides generic services for various drone applications, such as package delivery, traffic surveillance, search and rescue, and more. In this paper, we present a conceptual model of how such an architecture can be organized and we specify the features that an IoD system based on our architecture should implement. For doing so, we extract key concepts from three existing large scale networks, namely the air traffic control network, the cellular network, and the Internet, and explore their connections to our novel architecture for drone traffic management. A simulation platform for IoD is being implemented, which can be accessed from www.IoDnet.org in the future.
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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
A Comprehensive Survey on UAV Communication Channel Modeling
Yan, C., Fu, L., Zhang, J., & Wang, J. (2019) · IEEE Access · doi:10.1109/access.2019.2933173 · Cited by 395
Blockchain envisioned uav networks: challenges, solutions, and comparisons
Mehta, P., Gupta, R., & Tanwar, S. (2020) · Computer Communications · doi:10.1016/j.comcom.2020.01.023 · Cited by 266
Wireless Charging Techniques for UAVs: A Review, Reconceptualization, and Extension
Lu, M., Bagheri, M., James, A. P., & Phung, T. (2018) · IEEE Access · doi:10.1109/access.2018.2841376 · Cited by 257
Comprehensive survey of UAVs communication networks
Hentati, A. I., & Fourati, L. C. (2020) · Computer Standards & Interfaces · doi:10.1016/j.csi.2020.103451 · Cited by 184
Metadata
- Authors
- Gharibi, M., Boutaba, R., & Waslander, S. L.
- Venue
- IEEE Access
- Published
- 2016
- Volume
- 4
- Pages
- 1148-1162
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2229747717
- Cited by
- 477
- References
- 16
- FWCI
- 38.48
- Type
- journal article
- Language
- en
- Open access
- gold
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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.