Fréchet distribution in geometric graphs for drone networks

Journal Article (2022)
Author(s)

M. Raftopoulou (TU Delft - Network Architectures and Services)

R. Litjens (TU Delft - Network Architectures and Services, TNO)

Piet Mieghem (TU Delft - Network Architectures and Services)

Research Group
Network Architectures and Services
Copyright
© 2022 M. Raftopoulou, R. Litjens, P.F.A. Van Mieghem
DOI related publication
https://doi.org/10.1103/PhysRevE.106.024301
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 M. Raftopoulou, R. Litjens, P.F.A. Van Mieghem
Research Group
Network Architectures and Services
Issue number
2
Volume number
106
Pages (from-to)
024301-1 - 024301-12
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Abstract

In this paper, we focus on the link density in random geometric graphs (RGGs) with a distance-based connection function. After deriving the link density in D dimensions, we focus on the two-dimensional (2D) and three-dimensional (3D) space and show that the link density is accurately approximated by the Fréchet distribution, for any rectangular space. We derive expressions, in terms of the link density, for the minimum number of nodes needed in the 2D and 3D spaces to ensure network connectivity. These results provide first-order estimates for, e.g., a swarm of drones to provide coverage in a disaster or crowded area.

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