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作 者:刘庆华[1] 黄声培 叶金才[1] 康一鸣 LIU Qinghua;HUANG Shengpei;YE Jincai;KANG Yiming(School of Information and Communication Engineering,Guilin University of Electronic Technology,Guilin 541004,China)
机构地区:[1]桂林电子科技大学信息与通信学院,广西桂林541004
出 处:《桂林电子科技大学学报》2020年第4期274-278,共5页Journal of Guilin University of Electronic Technology
基 金:国家自然科学基金(61861011);广西自然科学基金(2016GXNSFAA380036,2018GXNSFAA38091);广西无线电宽带通信与信号处理重点实验室主任基金(GXKL06160110);广西科技重大开发项计划(桂科AA17204093)。
摘 要:为提高无人机自组网传输路径的稳定性,提出一种基于决策树算法的无人机自组网DSR协议——DT_DSR。根据无人机自组网的特性,在DSR协议的路由发现阶段,依据节点缓冲区拥塞率、能量消耗率和速度因子3项因素,用决策树分类的方法综合选择邻居节点转发路由请求,提高路由发现效率,减少不必要的路由洪泛。通过OPNET仿真工具对优化前后的协议进行仿真对比,仿真结果表明,与原DSR协议相比,无人机场景下的DT_DSR协议减少了传输时延,降低了网络开销,提高了业务数据的接收速率。In order to improve the stability of the transmission path of the UAV ad hoc network,a DSR protocol for UAV ad hoc network based on decision tree algorithm and called DT_DSR is proposed.According to the characteristics of the UAV ad hoc network,in the route discovery stage of the DSR protocol,based on the three factors of node buffer congestion rate,energy consumption rate and speed factor,the decision tree classification method is used to comprehensively select neighbor nodes to forward routing requests,and improve route discovery efficiency,reducing unnecessary route flooding.The OPNET simulation tool is used to simulate and compare the protocols before and after optimization.The simulation results show that compared with the original DSR protocol,the DT_DSR protocol in the drone scenario reduces the transmission delay,reduces the network overhead,and improves the traffic data received rate.
关 键 词:决策树 DSR DT_DSR OPNET 网络开销
分 类 号:TN929.5[电子电信—通信与信息系统]
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