为了满足无人集群有效遂行使命任务的网络信息交互需求，针对网络组织运行过程因规划设计带来的资源分配固化和协议灵活性不足问题，提出了一种能够自适应任务变化的动态资源分配优化协议，建立了低开销分布式资源预约、资源优先级列表和临时成员资源预约等协议机制。特别的，针对影响协议性能的动态资源最大申请比例、申请动态资源成员数量和成员拥有最高优先级时隙数量等参数进行了仿真。仿真结果表明该动态资源分配协议能够灵活应对网络运行过程中不同优先级任务的需求变化，满足成员对资源的机动需求，提升了动态资源利用率。

To meet the network information interaction requirements for effective mission execution in unmanned swarm systems, the challenges of resource allocation rigidity and limited protocol flexibility arising from planning and design in network organization were investigated. A dynamic resource allocation optimization protocol was then proposed, which can adapt to task variations. The protocol incorporates mechanisms such as low-overhead distributed resource reservation, resource priority lists, and temporary member resource allocation. Specifically, numerical simulations were conducted to analyze key parameters affecting protocol performance, including the maximum proportion of dynamic resource demands, the number of members requesting dynamic resources, and the number of time slots with the highest priority allocated to members. The simulation results demonstrate that the proposed dynamic resource allocation optimization protocol can effectively adapt to changing resource demands from tasks with varying priorities, meet the flexible resource requirements of members, and improve the utilization rate of dynamic resources.