UANET中基于任务感知的区块链共识与存储协同优化研究OA

Aiming at the problems of high communication complexity of blockchain consensus protocols and limited storage resources of UAV nodes in unmanned aerial vehicle ad-hoc network(UANET),an adaptive dynamic consensus protocol ADAPT-BFT for task-oriented scenarios and a collaborative task storage optimization strategy TASK-Store were proposed.The ADAPT-BFT was designed to dynamically select among normal,catch-up,and collaborative consen-sus modes based on task urgency and network conditions through trusted components including mission-aware checker and adaptive accumulator.The TASK-Store was developed to achieve fine-grained storage resource allocation based on task decomposition dependencies,collaborative hotspot identification,and time-constrained lifecycle management.Simu-lation experiments demonstrate that the ADAPT-BFT reduces consensus latency by 69％on average compared with the traditional practical Byzantine fault tolerance protocol(PBFT),while the TASK-Store saves 63％storage overhead on av-erage compared with full-node storage schemes,maintaining good scalability and fault tolerance under different UANET network scales and fault environments.