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软件定义无人机自组网高效自适应路由维护机制 被引量:3

An Efficient and Adaptive Routing Maintenance Mechanism for Software-defined Unmanned Aerial Vehicle Ad Hoc Network
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摘要 为解决软件定义无人机自组网路由维护存在的控制开销和数据包延迟偏大的问题,基于现有的OpenFlow协议提出了一种高效自适应的软件定义无人机自组网路由维护机制(Efficient and Adaptive Software-defined Unmanned Aerial Vehicle Ad Hoc Network Routing Maintenance Mechanism Based on OpenFlow Protocol,OpenFlow-EARM)。新机制采用基于距离估计的自适应转发策略,根据无人机节点的历史流表项信息估算并选择时延最低的方式转发流表项缺失数据包,降低数据包传输时延;同时在路由维护过程中采用了基于周期恢复的消息聚合策略,减少控制包的发包次数,从而降低网络控制开销。仿真结果表明,新机制的平均端到端时延、网络控制开销和丢包率等方面性能优于现有的最优化链路状态路由(Optimal Link State Routing,OLSR)协议和OpenFlow协议。 In order to solve the problems of control overhead and large data packet delay in software-defined unmanned aerial vehicle(UAV)ad hoc network routing maintenance,based on the existing OpenFlow protocol,an efficient and adaptive software-defined UAV ad hoc network routing maintenance mechanism(OpenFlow-EARM)is proposed.The new mechanism adopts an adaptive forwarding strategy based on distance estimation,estimates and selects the method with the lowest delay to forward the flow table entry missing data packet according to the historical flow entry information of the UAV node,thus reducing the transmission delay of the data packet.At the same time,in the process of maintaining the route,a message aggregation strategy based on period recovery is adopted to reduce the number of times of sending control packets,thereby reducing network control overhead.The simulation results show that the new mechanism is better than the existing Optimal Link State Routing(OLSR)protocol and OpenFlow protocol in terms of average end-to-end delay,network control overhead,and packet loss rate.
作者 周佳琦 黄璨 曹建玲 任丽丹 任智 ZHOU Jiaqi;HUANG Can;CAO Jianling;REN Lidan;REN Zhi(School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;School of Electronic Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China)
出处 《电讯技术》 北大核心 2022年第2期179-185,共7页 Telecommunication Engineering
基金 国家自然科学基金面上项目(61971080) 重庆邮电大学大学生科研训练计划项目(A2018-51)。
关键词 软件定义网络(SDN) 无人机自组网(UANET) OpenFlow协议 流表项缺失 距离估计 消息聚合 software-defined network(SDN) unmanned aerial vehicle network(UANET) OpenFlow protocol flow table entry missing distance estimation message aggregation
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