文章摘要
潘武1,吕娜1,陈柯帆1,刘创2,陈坤1.基于冗余删除的软件定义机载网络控制器部署策略[J].空军工程大学学报:自然科学版,2020,21(4):93-100
基于冗余删除的软件定义机载网络控制器部署策略
A Controller Deployment Strategy Based on Redundant Deletion for Software Defined Airborne Network
  
DOI:
中文关键词: 机载网络  软件定义网络  部署约束  冗余删除  部署成本开销
英文关键词: airborne network  software defined networking (SDN)  deployment constraints  redundant deletion  deployment cost overhead
基金项目:国家自然科学基金(61703427)
作者单位
潘武1,吕娜1,陈柯帆1,刘创2,陈坤1 1.空军工程大学信息与导航学院 西安 710077 2.国防科技大学电子对抗学院 合肥, 230000 
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中文摘要:
      软件定义网络为弥补机载网络对多任务支撑能力的不足提供了新思路。为降低网络的部署成本开销,利用灵活易部署的无人机构成逻辑集中的控制平面,对高动态拓扑变化的有人机编队实施管控。针对基于无人机的控制器部署问题,为优化可靠性和部署成本开销指标,提出一种基于冗余删除的无人机控制器部署策略。首先,为实现任务区域的全覆盖以保证连通性,依据无人机的通信范围进行初步部署;然后,为判定和删除初步部署中的冗余无人机,依据部署约束和优化指标,提出了基于连接关系的冗余判定算法和基于网络连通的冗余删除算法。实验结果表明,与基于全域覆盖的控制器部署策略相比,所提策略在满足可靠性要求基础上,部署无人机的数量减少了25%,降低了网络的部署成本开销,能够适用于高动态网络环境下的控制器部署场景。
英文摘要:
      The airborne networks being lack of supporting capability to multitasks, Software defined network brings about a new way to us.In order to reduce the deployment cost of the network, flexible and easy to deploy UAV sare used to form a logically centralized control plane to control the man machine formation with high dynamic topology changes. In view of the deployment problem of UAV based controllers, and for the sake of optimizing reliability and deployment cost overhead, a redundant UAV controller deployment strategy based on redundancy deletion is proposed.Firstly, in order to realize the full coverage of the task area to ensure connectivity, the initial deployment is based on the communication range of the UAV.Then, in order to determine and delete the redundant UAV in the initial deployment, according to the deployment constraints and optimization indicators, redundancy decision algorithm based on connection relationship and redundant deletion algorithm based on network connection are proposed.The experimental results show that compared with the global coverage based controller deployment strategy, the proposed strategy reduces the number of deployed UAVs by 25% while the reliability requirements are satisfied, and the deployment cost of the network is reduced and is more suitable for controller deployment scenario in a dynamic topology environment.
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