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SD-FANET下基于节点合作的低开销且可靠有效路由解决方案

A Low-overhead,Reliable and Efficient Routing Solution Based on Node Cooperation under SD-FANET
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摘要 针对分布式无人机网络初始建网时间过长、周期性组网开销过大、链路稳定性与可靠性低的问题,提出了软件定义飞行自组网下基于节点合作的低开销且可靠有效路由解决方案(Low-overhead,Reliable and Efficient Routing Solution Based on Node Cooperation,NC-SDN)。首先,通过普通节点局部感知和软件定义网络(Software Defined Network,SDN)控制器全局感知配合,缩短了初始建网时间并减少了周期性组网开销;其次,通过普通节点主动感知链路状态与周期性传递告警信息,减少了未过期无效路由带来的不可靠传输风险;最后,通过SDN控制器的预测与切换,降低了用户业务传输中断的风险。仿真表明,NC-SDN在初始建网时间、周期性组网开销和丢包率等方面性能优于现有的SDN、优化链路状态路由和无线自组网按需平面距离向量路由。 For the problems of distributed unmanned aerial vehicle(UAV)network,such as too long initial network construction time,too much overhead of periodic network,low link stability and reliability,a low-overhead,reliable and efficient routing solution based on node cooperation(NC-SDN)under Software-Defined Flight Ad Hoc Network(SD-FANET)is proposed.Firstly,the local awareness of common nodes and the global awareness of software-defined network(SDN)controller are combined to shorten the initial network construction time and reduce the cost of periodic networking.Secondly,common nodes are used to proactively perceive link status and periodically transmit alarm information to reduce the risk of unreliable transmission caused by unexpired invalid routes.Finally,the risk of service interruption is reduced through the prediction and switching of SDN controller.The simulation results show that the performance of NC-SDN is superior to that of the existing SDN,Optimized Link State Routing(OLSR)and Ad Hoc On-Demand Distance Vector Routing(AODV)in the aspects of initial network construction time,periodic network overhead and packet loss rate.
作者 陈凯 任智 韦亮 张关鑫 CHEN Kai;REN Zhi;WEI Liang;ZHANG Guanxin(School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China)
出处 《电讯技术》 北大核心 2023年第10期1589-1595,共7页 Telecommunication Engineering
关键词 软件定义网络(SDN) 无人机自组网 主动感知 预测切换 software-defined network(SDN) UAV ad hoc networking active perception predictive switching
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