Computing offloading and load balancing within UAV clusters
Résumé
Unmanned Aerial vehicles (UAV) are a cost-effective and flexible alternative to bring computing to the edge network as close as possible to end devices. Nevertheless, UAV’s capabilities are also limited. Considering the facts that UAVs are generally deployed in cases where the terrestrial networks are congested, damaged or absent, and that end devices’ mobility and traffic distribution directly affects UAV’s load and performance, we investigate in this paper UAV’s cooperation in a cluster of UAVs. Therefore, we propose the use of the cluster head for the computing offloading scheduling and balancing using a minimum-cost flow algorithm and present an objective function for a reliable offload path selection.