A communication model based offloading decision for flying ad-hoc networks

Flying ad-hoc networks is composed of many connected drones with wireless communication. A drone sends its task to the cloud to reduce task completion time and energy consumption. However, flying ad-hoc networks, where several drones are connected to each other, can divide a task into small tasks and assign each small task to drones to improve responsibility. In this paper, we propose an offloading decision scheme that considers task completion time and energy consumption under the typical wireless communication model. The proposed scheme compares the cost of executing small tasks on the drones with the cost of committing a task to the cloud and decides offloading a task only if the cost of offloading is definitely smaller than the cost of using multiple drones. Our simulation results show that the proposed decision scheme is necessary because offloading spends more energy and time in some cases.