软件定义航空集群机载网络自适应更新策略

An Adaptive Update Strategy for Software-Defined Airborne Network of the Aviation Swarm

软件定义网络的出现为突破当前机载网络在航空集群作战应用中存在的固有技术瓶颈开辟了全新途径,然而软件定义机载网络动态的网络拓扑以及有限的链路容量导致网络更新过程中链路拥塞现象频发,造成网络更新过程极易引发网络拥塞,并降低网络更新的成功率。针对该问题,提出一种基于拥塞避免的软件定义航空集群机载网络更新策略。首先通过混合更新策略计算得到各业务流的初始更新操作序列;然后提出拥塞链路感知算法,实现更新过程中对潜在拥塞链路的感知;最后提出基于拥塞避免的软件定义机载网络更新算法,根据各业务流的初始操作序列以及感知到的潜在拥塞链路状态,计算无拥塞更新操作约束,并最大限度实现网络的无拥塞更新。仿真结果表明,与现有网络更新策略相比,所提更新策略能够有效避免网络更新过程中软件定义机载网络的拥塞,提升网络更新的成功率。

Aimed at the problems that the dynamic network topology and the limited link capacity lead to frequent network link congestion phenomenon in the process of updating,and the network update process is easy to cause network congestion,reducing the network update success rate,this paper proposes a software-defined network update strategy based on congestion avoidance.Firstly,the initial update operation sequence of each data stream is calculated by the mixed update strategy,and then a congestion link sensing algorithm is proposed to realize the potential congestion link sensing in the update process.Finally,a new algorithm based on congestion avoidance is proposed to calculate the congestion free update operation constraint according to the initial operation sequence of each data stream and the perceived potential congestion link state,and to realize the maximum congestion free update of the network.The simulation results show that compared with the existing network updating strategy,the proposed updating strategy can effectively avoid the network congestion of the software-defined airborne network during the network updating process and improve the success rate of network updating.