An optimized end-to-end data transmission scheme for long-range unmanned aerial vehicles based on resonant-motion

Unmanned aerial vehicles (UAVs) have revolutionized large-scale inspections and wide-area reconnaissance tasks by significantly diminishing manpower and material expenditures. Yet, their low deployment density in vast areas impedes real-time end-to-end data transmission—a pivotal concern we aim to resolve. We introduce an innovative UAV cooperative end-to-end data transmission approach, leveraging the resonant motion concept(in the following context, we will consistently refer to it as RM.). By capitalizing on the rhythmic back-and-forth movement of idle UAVs, our method facilitates long-distance data transmission, turning what was once a disadvantage into an advantage. To further improve energy efficiency, our approach optimizes the count of idle UAVs required and modulates the transmission power during the data transmission process. Geared specifically towards video streaming data transmission requirements, our method outperforms conventional strategies like carrying and forwarding, as well as multi-hop routing. Our proposed approach has demonstrated enhancements in latency by 15% and 9.6% respectively, while increasing energy consumption by 6.8% and 15.4% respectively. Moreover, our system exhibits superior overall transmission energy efficiency when compared to other multi-hop transmission schemes, particularly in scenarios with constrained transmission rates and large data video streaming. In essence, we offer a trailblazing solution that addresses a key issue in UAV deployment while significantly augmenting their efficiency and effectiveness.