Abstract: In order to improve the ability of drone information exchange, resource sharing, and task collaboration in drone swarm operations, this paper designs a hierarchical and clustered drone swarm model under high dynamic topology based on the TTNT data link SPMA protocol, as well as a matching hierarchical resource and task scheduling model, and optimizes its message transmission. Through the OMNeT++simulation platform, the data transmission standard in TTNT data link is used to compare the end-to-end information latency and network throughput of information under different inter machine transmission distances.The experimental results show that this method meets the requirements of SPMA protocol for message transmission delay, and can effectively reduce network data transmission conflicts after introducing SPMA protocol, and improve the system's network throughput and data transmission efficiency by approximately 18%, enhancing the capabilities of unmanned aerial vehicle information exchange, resource sharing, and collaborative operations. It has reference value for practical research on drone swarm collaborative task scheduling.