Fréchet distribution in geometric graphs for drone networks

Maria Raftopoulou, Remco Litjens, and Piet Van Mieghem
Phys. Rev. E 106, 024301 – Published 9 August 2022

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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  • Received 13 April 2022
  • Accepted 27 June 2022

DOI:https://doi.org/10.1103/PhysRevE.106.024301

©2022 American Physical Society

Physics Subject Headings (PhySH)

Networks

Authors & Affiliations

Maria Raftopoulou1,*, Remco Litjens1,2, and Piet Van Mieghem1

  • 1Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, P.O. Box 5031, 2600 GA Delft, The Netherlands
  • 2Department of Networks, TNO, P.O. Box 96800, 2509 JE The Hague, The Netherlands

  • *m.raftopoulou@tudelft.nl

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Vol. 106, Iss. 2 — August 2022

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