摘要
针对无人机自组网节点能量有限、移动快、数据多造成网络QoS下降的问题,提出将改进的萤火虫算法融入到多径路由中形成萤火虫多径路由算法(AOMDV-FMRA)。首先为减小速度对路径稳定度的影响,在路由发现过程中引入边界评价因子以适应拓扑变化,再根据路径上节点的负载信息,对反向路由进行选择。最后将能量评价参数映射到萤火虫算法中对收集到的路径能量信息进行处理,作为流量分配的依据。实验结果表明,与AODV、AOMDV相比,在节点速度高、网络流量大的环境中,算法在端到端时延、网络生存时间、投递成功率、路由开销方面,均有良好性能。
To solve the problem of network QoS degradation caused by the limited energy,fast movement and data of UAV Ad-Hoc network nodes,the improved firefly multipath routing algorithm(AOMDV-FMRA)was put forward.Firstly,in order to reduce the influence of speed on the path stability,a boundary evaluation factor is introduced into the route discovery process to adapt to the topology change.Then,the reverse route is selected according to the load information of the nodes on the path.Finally,the energy evaluation parameters are mapped to the firefly algorithm to process the collected path energy information as the basis for flow allocation.Experimental results show that,compared with AODV and AOMDV,in the environment of high node speed and large network traffic,the algorithm has good performance in aspects of end-to-end delay,network survival time,delivery success rate and routing cost.
作者
逯建琦
南建国
王伟
Lu Jianqi;Nan Jianguo;Wang Wei(Air Force Engineering University,Xi’an 710038,China;Unit 95844 of PLA,Jiuquan 735018,China)
出处
《电子测量与仪器学报》
CSCD
北大核心
2020年第9期69-76,共8页
Journal of Electronic Measurement and Instrumentation
关键词
无人机自组网
多径路由
边界评价因子
萤火虫算法
流量分配
UAV Ad-Hoc network
multipath routing
boundary evaluation factor
firefly algorithm
flow allocation
