English

Drone Formation for Efficient Swarm Energy Consumption

Robotics 2023-03-20 v1 Signal Processing

Abstract

We demonstrate formation flying for drone swarm services. A set of drones fly in four different swarm formations. A dataset is collected to study the effect of formation flying on energy consumption. We conduct a set of experiments to study the effect of wind on formation flying. We examine the forces the drones exert on each other when flying in a formation. We finally identify and classify the formations that conserve most energy under varying wind conditions. The collected dataset aims at providing researchers data to conduct further research in swarm-based drone service delivery. Demo: https://youtu.be/NnucUWhUwLs

Keywords

Cite

@article{arxiv.2303.09694,
  title  = {Drone Formation for Efficient Swarm Energy Consumption},
  author = {Shilong Guo and Balsam Alkouz and Babar Shahzaad and Abdallah Lakhdari and Athman Bouguettaya},
  journal= {arXiv preprint arXiv:2303.09694},
  year   = {2023}
}

Comments

3 pages, 7 figures. This is an accepted demo paper and it will appear in The 21st International Conference on Pervasive Computing and Communications (PerCom 2023)

R2 v1 2026-06-28T09:20:51.552Z