Service-based Trajectory Planning in Multi-Drone Skyway Networks

TL;DR

This paper demonstrates a service-oriented approach to trajectory planning in multi-drone skyway networks, validated through experiments with Crazyflie drones under various environmental and network configurations.

Contribution

It introduces a novel service-based trajectory planning method tailored for multi-drone skyway systems, incorporating real-world experimental validation.

Findings

Trajectory planning adapts to wind conditions and network configurations.

Wind significantly affects drone voltage consumption.

Multiple recharging stations improve system resilience.

Abstract

We present a demonstration of service-based trajectory planning for a drone delivery system in a multi-drone skyway network. We conduct several experiments using Crazyflie drones to collect the drone's position data, wind speed and direction, and wind effects on voltage consumption rates. The experiments are run for a varying number of recharging stations, wind speed, and wind direction in a multi-drone skyway network. Demo: https://youtu.be/zEwqdtEmmiw