NEVOCAB Project (Network-Aware Evolutionary Coordination for Aerial Backbone)

Unmanned Aerial Vehicles (UAVs) can be used to provide a reliable communication path from mobile ground based units to a base controller either directly, or through satellite links. A major problem is in the positioning of multiple UAVs to provide an adaptive network backbone which allows maximum network coverage within constraints such as limited power and computational resources.

This project aims to investigate the use of Evolutionary Algorithms (EAs) to optimise the coordination of the position of these UAVs within a realistic, unreliable communication environment in which communication links are imperfect.

Supplemetary Material for paper submited to the TAROS 2014 Conference