通信学报2026，Vol.47Issue(1)：223-238,16.DOI:10.11959/j.issn.1000−436x.2026004
UANET中基于任务感知的区块链共识与存储协同优化研究
Task-aware collaborative optimization of blockchain consensus and storage in UANET
摘要
Abstract
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.关键词
无人机自组织网络/区块链/共识协议/存储优化/协同任务Key words
UANET/blockchain/consensus protocol/storage optimization/collaborative task分类
信息技术与安全科学引用本文复制引用
姜来为,廖江亨,刘鑫,那振宇..UANET中基于任务感知的区块链共识与存储协同优化研究[J].通信学报,2026,47(1):223-238,16.基金项目
国家自然科学基金资助项目(No.U2433205) （No.U2433205）
中央高校基本科研业务费专项资金资助项目(No.3122018C022) （No.3122018C022）
研究生科研创新资助项目(No.2024YJSKC05002)The National Natural Science Foundation of China(No.U2433205),The Fundamental Research Funds for the Central University(No.3122018C022),Postgraduate Research and Innovation Project(No.2024YJSKC05002) （No.2024YJSKC05002）
