Routing in Solar-powered UAV Delivery System




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As interest grows in Unmanned Aerial Vehicles (UAVs) systems, UAVs are proposed to take on increasingly more tasks that were previously assigned to humans. One such task is the delivery of goods within urban cities using UAVs, which would otherwise be delivered by terrestrial means. However, the limited endurance of UAVs due to limited onboard energy storage makes it challenging to practically employ the UAV technology for deliveries across long routes. Furthermore, the relatively high costs of building UAV charging stations prevent dense deployment of charging facilities. Solar-powered UAVs can ease this problem as they do not require charging stations and can harvest solar power in the daytime. This paper introduces a solar- powered UAV goods delivery system to plan delivery missions by Solar-Powered UAVs (SPUs). In this study, when the SPUs run out of power, they will charge themselves on landing places provided by customers instead of charging stations. Some advanced path planning algorithms are proposed to minimize the overall mission time in the statical charging efficiency environment. We further consider routing in the dynamical charging efficiency environment and propose some mission arrangement protocols to manage different missions in the system. The simulation results demonstrate that the algorithms proposed in our work perform significantly better than existing UAV path planning algorithms in solar-powered UAV systems.



Computer Science