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Large-Scale Constellation Design for the Internet of Space Things/CubeSats
Abstract
The increasing popularity of CubeSats has given rise to the possibility of ubiquitous cyber-physical systems, known as the Internet of Space Things/CubeSats, serving a wide variety of applications that range from monitoring and reconnaissance to in-space backhauling. Expectedly, such systems are characterized by the need for global coverage and consistent connectivity, and, thus, optimal constellation design is of great importance to system architects. The significance of optimal constellation design comes from the fact that it has a direct impact on the cost, scalability, and effectiveness of the system. However, the constellation design methodologies present today do not scale well beyond a few dozen satellites, severely impacting the system's potential. To this end, a large-scale optimal constellation design framework is presented in this paper. The proposed framework is geared towards achieving global coverage with robust connectivity, and can scale well for several hundred CubeSats, making it a perfect fit for the Internet of Space Things/CubeSats. Further, a performance comparison is conducted with several state-of-the-art constellations to validate the efficacy of our constellation design.
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Given the challenges associated with the development and launch of traditional satellites, CubeSats have become a viable alternative for building global satellite networks.
“Given the already mentioned challenges associated with the development and launch of traditional satellites CubeSats have become a viable alternative for building global satellite networks [260, 261].”
From Applications and Challenges of Artificial Intelligence in Space Missions (2024) · cites this paper as [260]
IoST can also find application in deep space exploration through interplanetary data relaying, sensing and monitoring of asteroids, Mars, and Moon.
“Notwithstanding the many use cases for IoST that focus on on-Earth or near-Earth applications, it is worth stating that IoST can also can find application in deep space exploration through interplanetary data relaying, sensing and monitoring of asteroids, Mars, and Moon [260, 263].”
From Applications and Challenges of Artificial Intelligence in Space Missions (2024) · cites this paper as [260]
Citations
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Savitri, T., Kim, Y., Jo, S., & Bang, H. (2017) · International Journal of Aerospace Engineering · doi:10.1155/2017/1235692 · Cited by 70
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Cited by
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Applications and Challenges of Artificial Intelligence in Space Missions
Oche, P. A., Ewa, G. A., & Ibekwe, N. (2024) · IEEE Access · doi:10.1109/access.2021.3132500 · Cited by 68
“The growing popularity of CubeSats has given rise to the practicability of ubiquitous cyber-physical systems known as the IoST/CubeSats [259].”
Background
Metadata
- Authors
- Kak, A., & Akyildiz, I. F.
- Affiliations
- Georgia Institute of Technology (US)
- Venue
- 2019 IEEE Globecom Workshops (GC Wkshps)
- Publisher
- IEEE
- Published
- 2019-12
- Pages
- 1-6
- OpenAlex
- W3012432546
- Cited by
- 23
- References
- 1
- Citations by year
- 2026: 1 · 2024: 3 · 2023: 3 · 2022: 5 · 2021: 7 · 2020: 4
- FWCI
- 7.25
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Globecom Workshops (GC Wkshps) (publishedVersion)
- Topics
- Physical Sciences › Engineering › Aerospace Engineering › Satellite Communication Systems
- Physical Sciences › Engineering › Aerospace Engineering › Space Satellite Systems and Control
- Physical Sciences › Engineering › Aerospace Engineering › Spacecraft Design and Technology
- Keywords
- constellation design, CubeSat, global coverage, connectivity, scalability, cyber-physical systems
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