Unmanned aerial vehicle data sharing incentive system and method based on semantic communication

By using a semantic communication-based UAV data sharing incentive system, and leveraging the Stackelberg game model and semantic processing module, the value of semantic data is quantified, solving the problem of the lack of incentive mechanisms in UAV data sharing. This achieves efficient and fair data sharing and optimized resource allocation, thereby improving the mission performance and robustness of the UAV network.

CN122420862APending Publication Date: 2026-07-17SHANGHAI UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANGHAI UNIV
Filing Date
2026-03-30
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies lack effective incentive mechanisms for drone data sharing, leading to drones' reluctance to actively share high-quality semantic data. Furthermore, existing solutions cannot quantify the actual value and contribution of semantic data, posing a risk of low-quality or false data and failing to achieve efficient data sharing in resource-constrained environments.

Method used

A semantic communication-based UAV data sharing incentive system is adopted. Through the Stackelberg game model and semantic processing and evaluation module, the value of semantic data is quantified, guiding UAVs to actively provide high-quality data, and the game mechanism is used to achieve optimal allocation and fair distribution of resources.

Benefits of technology

It significantly reduces communication load, improves the efficiency of semantic information utilization, enhances the overall mission performance and robustness of UAV networks, solves the data silo problem, and achieves efficient sharing and fair incentives for semantic data.

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Abstract

本发明涉及一种基于语义通信的无人机数据共享激励系统及方法,该系统包括:数据需求方:用于根据目标任务构建语义数据需求参数集合,并将广播至无人机集合,接收反馈的参与意愿;无人机数据提供方:用于无人机接收,结合自身状态和激励策略函数决策参与意愿,并反馈至数据需求方;任务与合同管理模块:用于根据参与意愿,在预算约束下筛选出预期任务收益最大化的无人机子集,并签订合同;语义处理与评估模块:用于对中的无人机提取语义特征,并执行目标任务以及生成综合评估向量;激励与策略管理模块:用于计算无人机的最终支付,并调整下一轮目标任务的激励策略函数。与现有技术相比,本发明具有实现高价值语义数据的高效共享与公平激励等优点。
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Citation Information

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