A Sensitivity Analysis of the DCP/Vardis Protocol for Coordinating Drone Swarms

The DCP/Vardis protocol stack is designed to support coordination and sensor data exchange tasks in ad-hoc type large-scale and multi-hop networks of drones (or drone swarms), by piggybacking coordination and sensor data onto frequently transmitted beacon packets that are present anyway to help with collision avoidance. The Vardis protocol introduces the concept of a variable, which is available to all nodes, and for which information about any modifying operation (create, update, delete) is disseminated globally using beacons. In this paper we study the sensitivity of Vardis application performance metrics related to reliability and delay to some of its key parameters. This sensitivity analysis allows to assess the relative impact of these parameters and to derive recommendations for setting their values.

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Publication Details

Published
2025-06-02
DOI
https://doi.org/10.1109/vnc64509.2025.11054262
Citations
1
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
4.99
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article

A Sensitivity Analysis of the DCP/Vardis Protocol for Coordinating Drone Swarms

Andreas Willig
1 citations
UAV Applications and Optimization
4.99
article

A Sensitivity Analysis of the DCP/Vardis Protocol for Coordinating Drone Swarms

Andreas Willig
article en
1 citations

Abstract

The DCP/Vardis protocol stack is designed to support coordination and sensor data exchange tasks in ad-hoc type large-scale and multi-hop networks of drones (or drone swarms), by piggybacking coordination and sensor data onto frequently transmitted beacon packets that are present anyway to help with collision avoidance. The Vardis protocol introduces the concept of a variable, which is available to all nodes, and for which information about any modifying operation (create, update, delete) is disseminated globally using beacons. In this paper we study the sensitivity of Vardis application performance metrics related to reliability and delay to some of its key parameters. This sensitivity analysis allows to assess the relative impact of these parameters and to derive recommendations for setting their values.

University of Canterbury (NZ)
Openalex Percentile: Top 6%
UAV Applications and Optimization
4.99
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