基于能耗参量的拥塞控制算法无人机数据链设计

UAV Data Link Design with Congestion Control Algorithm based on Energy Consumption Parameters

无人机在未来的战争中将扮演着越来越重要的角色。战术无人机能够将对本方有用的敌方信息传递到本方的地面控制中心,以便本方部署周密的作战计划。无人机通信负载和能量是衡量无人机数据链系统性能好坏两个很重要的指标。通信负载的大小可以通过拥塞控制来解决,结合无人机能量有限的特点,无人机发送数据时采用最小功率发射,在MAC层,引入能耗参量,将其融入到拥塞控制中来提高无人机数据链的网络性能。利用opnet仿真软件,搭建半实物仿真平台,设计了基于能耗参量的拥塞控制算法无人机数据链。仿真结果表明此算法能够提高系统吞吐率,并节约了能量。

UAV may play an increasingly important role in the future wars. It can deliver the useful enemy information to its own ground control center for its own deployment of careful operation plan. UAV traffic load and energy are two important indexes to determine whether UAV data link system is good or bad. Traf-fic load can be solved by congestion control. In combination with the characteristics of UAV＆#39;s limited en-ergy, UAV adopts minimum power launch in data sending. In the MAC layer, energy consumption param-eter is introduced and integrated into the congestion control for improving the network performance of UAV data link. With opnet simulation software,and by building up a semi-physical simulation platform, a con-gestion control algorithm based on energy consumption parameters of UAV data link is designed. The simu-lation results show that the algorithm can improve the system throughput and save the energy.