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Airborne Communication Networks for Small Unmanned Aircraft Systems

Frew, E.W., Brown, T.X.·2008·Proceedings of the IEEE

Abstract

This paper explores the role of meshed airborne communication networks in the operational performance of small unmanned aircraft systems. Small unmanned aircraft systems have the potential to create new applications and markets in civil domains, enable many disruptive technologies, and put considerable stress on air traffic control systems. We argue that of the existing networked communication architectures, only meshed ad hoc networking can meet the communication demands for the large number of small aircraft expected to be deployed in future. Experimental results using the heterogeneous unmanned aircraft system are presented to show that meshed airborne communication is feasible, that it extends the operational envelope of small unmanned aircraft at the expense of increased communication variability, and that net-centric operation of multiple cooperating aircraft is possible. Additionally, the ability of airborne networks of small unmanned aircraft to exploit controlled mobility to improve performance is discussed.

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Metadata

Authors
Frew, E. W., & Brown, T. X.
Venue
Proceedings of the IEEE
Published
2008-12
Volume
96
Issue
12
Pages
2008-2027
ISSN
  • 0018-9219 (ISSN-L)
  • 1558-2256
OpenAlex
W2020199432
Cited by
247
References
0
FWCI
14.27
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Airborne Communication Networks for Small Unmanned Aircraft Systems. https://app.cochat.ai/papers/10.1109/jproc.2008.2006127
The paper
Frew, E. W., & Brown, T. X. (2008). Airborne Communication Networks for Small Unmanned Aircraft Systems. Proceedings of the IEEE. https://doi.org/10.1109/jproc.2008.2006127

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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.