系统工程与电子技术 ›› 2019, Vol. 41 ›› Issue (10): 2260-2270.doi: 10.3969/j.issn.1001-506X.2019.10.15

• 系统工程 • 上一篇    下一篇

软件定义航空集群机载网络自适应邻居探测方法

吕娜, 曹芳波, 陈柯帆, 刘创, 高维廷   

  1. 空军工程大学信息与导航学院, 陕西 西安 710077
  • 出版日期:2019-09-25 发布日期:2019-09-24

Adaptive neighbor detection method of software-defined airborne network for aeronautic swarm

LYU Na, CAO Fangbo, CHEN Kefan, LIU Chuang, GAO Weiting   

  1. Information and Navigation College, Air Force Engineering University, Xi’an 710077, China
  • Online:2019-09-25 Published:2019-09-24

摘要: 针对航空集群机载网络中优化链路状态路由(optimized link state routing, OLSR)协议周期固定式邻居探测方式不能及时获取节点邻居分布状况,导致路由可靠性不足问题,提出软件定义航空集群机载网络自适应邻居探测方法。首先在现有软件定义网络(software defined networking, SDN)架构基础上,提出航空集群机载网络架构并设计网络模型;其次设计待调节点集合选举算法,以节点移动距离为标准筛选待调节点集合;最后设计邻居探测周期分配算法,为待调节点分配邻居探测周期。通过SDN集中式高效地调整节点邻居探测周期,能够实现对邻节点分布状况的及时有效探知。仿真表明该方法能及时获取节点邻居分布状况,提高了数据包到达率并降低端到端时延和协议控制开销,增强了OLSR协议在航空集群机载网络中的可靠性。

关键词: 航空集群, 机载网络, 优化链路状态路由, 自适应, 软件定义网络, 邻居探测

Abstract: Aiming at the problem that the periodic of neighbor detection of the optimized link state routing (OLSR) protocol is fixed in the airborne network for aeronautic swarm, the nodes are unable to detect their neighbor distribution timely which leads to the lack of reliability of routing. An adaptive neighbor detection method of software-defined airborne network for aeronautic swarm is proposed. Firstly, based on existing software defined networking (SDN) architecture, an airborne network architecture for aeronautic swarm is proposed and network model is designed. Secondly, the selection algorithm of set of nodes to be adjusted is designed. The node moving distance is used as a criterion to filter the set of nodes to be adjusted. Finally, the neighbor detection period allocation algorithm is designed to assign the neighbor detection period to the node to be adjusted. Through SDN centralized and efficient adjustment of the neighbor detection period of the node, timely and effective detection for neighbors is realized. Simulation shows this method can obtain neighbor distribution in time, improve packet arrival rate, reduce average end-to-end delay and protocol control overhead, and enhance the reliability of OLSR protocol in the airborne network for aeronautic swarm.

Key words: aeronautic swarm, airborne network, optimized link state routing (OLSR), adaptive, software defined networking (SDN), neighbor detection