On the Analysis of a Swarm Intelligence Based Coordination Model for Multiple Unmanned Aerial Vehicles
This paper presents an analysis of a model for the coordination of multiple unmanned aerial vehicles (UAVs) using a swarm intelligence approach based on Particle Swarm Optimization. The model considers locomotion constraints, anti-collision mechanisms, ad hoc communication and environmental perception information from the UAVs sensors. We analyze the performance in terms of target tracking and energy consumption. We developed a simulator with a graphic user interface to allow the visual analysis of the swarm of UAVs.
Paper
Full text
On the Analysis of a Swarm Intelligence Based Coordination Model for Multiple Unmanned Aerial Vehicles
Semantic Scholar · Engineering · 2012
Abstract
This paper presents an analysis of a model for the coordination of multiple unmanned aerial vehicles (UAVs) using a swarm intelligence approach based on Particle Swarm Optimization. The model considers locomotion constraints, anti-collision mechanisms, ad hoc communication and environmental perception information from the UAVs sensors. We analyze the performance in terms of target tracking and energy consumption. We developed a simulator with a graphic user interface to allow the visual analysis of the swarm of UAVs.