Impact of Spatial Proximity on Drone Services

TL;DR

This paper investigates how the proximity of drones affects their energy consumption during delivery, using experiments and a GUI tool to analyze the influence of spatial arrangements and wind conditions.

Contribution

It introduces an experimental framework and a visualization tool to study peer-to-peer impacts of drones in 3D space under various wind scenarios.

Findings

Proximity influences drone energy consumption.

Wind conditions affect drone trajectory and energy use.

The GUI aids in analyzing drone interactions.

Abstract

We demonstrate the peer-to-peer impact of drones flying in close proximity. Understanding these impacts is crucial for planning efficient drone delivery services. In this regard, we conducted a set of experiments using drones at varying positions in a 3D space under different wind conditions. We collected data on drone energy consumption traveling in a skyway segment. We developed a Graphical User Interface (GUI) that plots drone trajectories within a segment. The GUI facilitates analyzing the peer-to-peer influence of drones on their energy consumption. The analysis includes drones' positions, distance of separation, and wind impact.