On the Analysis of a Swarm Intelligence Based Coordination Model for Multiple Unmanned Aerial Vehicles

Diego M. P. F. Silva, Luiz Felipe F. de Oliveira, Mariana G. M. Macedo, Carmelo J. A. Bastos-Filho · 2012

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.

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