Drone Formation for Efficient Swarm Energy Consumption
- Resource Type
- Conference
- Authors
- Guo, Shilong; Alkouz, Balsam; Shahzaad, Babar; Lakhdari, Abdallah; Bouguettaya, Athman
- Source
- 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), 2023 IEEE International Conference on. :294-296 Mar, 2023
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
General Topics for Engineers
Robotics and Control Systems
Signal Processing and Analysis
Pervasive computing
Energy consumption
Wind energy
Conferences
Drones
Drone Services
Swarming
Formation Flying
Dataset
- Language
- ISSN
- 2766-8576
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