Flight Plan Management System for Unmanned Aircraft Vehicles Using Blockchain

Current unmanned aerial vehicle (UAV) traffic management systems are almost exclusively centralized and require a large amount of network traffic and data storage because the estimated amount of data required in the future will be quite large and difficult to achieve. In this paper, we present a distributed autonomous flight plan management system for data and network traffic regionalization in each UAV. Our approach is applied to blockchain technology for reservation systems, octree for airspace indexing, and probabilistic road maps with an A* algorithm for the replanning system. We evaluated this system by load testing based on future estimates and the results demonstrate that our approach is capable of handling estimated future flight plans.