摘要
为了改善无人机数据链(unmanned aerial vehicle data link,UAV-DL)的吞吐量和平均时延,结合UAV的Markov飞行状态、Gilbert-Elliot信道模型和不同分组网络的优先级,提出了一种基于Gilbert-Elliot信道的UAV数据链多链路轮询策略。该策略以链路信道状态和不同分组网络的优先级为轮询的最优目标,首先,依据轮询的最优目标完成信息的传输,然后,依据排队过程的概率母函数和基本的排队原理分析了UAV数据链多链路轮询机制的性能。最后通过Opnet仿真了该策略组网条件下的平均时延和吞吐量,结果表明:与其典型的两种轮询方式相比,该方案的平均时延削减了至少30%,组网的吞吐量增加了1.3倍。
In order to improve the throughput and reduce the average delay for UAV-DL ( unmanned aerial vehicle data link ) , a new multi-link cooperative polling scheme is proposed based on the Markov chain of flight condition for UAV-DL, Gilbert-Elliot channel model and different priorities for multi-link network. The channel state and different priorities are op- timal for the multi-link cooperative polling scheme. The data is transmitted according to its channel state and priority. And then the average delay and throughput of multi-link cooperative polling model for UAV-DL are analyzed and simulated based on the probability generating function and the queuing theory. Simulation results show that the average delay is shortened by 30% and the throughput is increased 1.3 times than other ways in simulation.
出处
《重庆邮电大学学报(自然科学版)》
北大核心
2011年第5期585-592,共8页
Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)