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Cited by 273

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Orbital Edge Computing: Nanosatellite Constellations as a New Class of Computer System

Open access
Denby, Bradley, Lucia, Brandon·2020·Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems

Abstract

Advances in nanosatellite technology and a declining cost of access to space have fostered an emergence of large constellations of sensor-equipped satellites in low-Earth orbit. Many of these satellite systems operate under a "bent-pipe" architecture, in which ground stations send commands to orbit and satellites reply with raw data. In this work, we observe that a bent-pipe architecture for Earth-observing satellites breaks down as constellation population increases. Communication is limited by the physical configuration and constraints of the system over time, such as ground station location, nanosatellite antenna size, and energy harvested on orbit. We show quantitatively that nanosatellite constellation capabilities are determined by physical system constraints.

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Metadata

Authors
Denby, B., & Lucia, B.
Venue
Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems
Publisher
ACM
Published
2020-03-09
Pages
939-954
OpenAlex
W3012002440
Cited by
273
References
9
FWCI
46.81
Type
conference paper
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Orbital Edge Computing: Nanosatellite Constellations as a New Class of Computer System. https://app.cochat.ai/papers/10.1145/3373376.3378473
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Denby, B., & Lucia, B. (2020). Orbital Edge Computing: Nanosatellite Constellations as a New Class of Computer System. Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems. https://doi.org/10.1145/3373376.3378473

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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.