摘要
针对机载战术网重业务负载时QoS急剧恶化问题,提出一种基于统计预测的接入判定机制,采用粒子群优化算法,实现了预测步长和平滑系数根据序列阶段性特征自适应调整,提高了预测精度,实现信道接入业务量的自适应控制,避免出现信道负载过重.
For the sharply QoS worsening problem under heavy channel burden in airborne tactical networks, a statistical predictionbased access decision mechanism is proposed in this paper. The mechanism adopts the particle swarm optimization algorithm, realizes the adaptive adjustment of prediction step and smoothing coefficient according to the phasic feature of the sequence, and improves the accuracy of prediction. Furthermore, the channel access of service is adaptively controlled by the relationship between the prediction results and the channel access threshold, in order to avoid the heavy channel burden.
作者
管伟
冯煊
郑博
GUAN Wei;FENG Xuan;ZHENG Bo(Unit of 31006 of PLA,Beijing 100840,China;Institute of Information and Navigation,Air Force Engineering University,Xi’an Shaanxi 710077,China)
出处
《指挥与控制学报》
2020年第1期68-74,共7页
Journal of Command and Control
关键词
机载战术网络
媒质接入控制
多信道
粒子群优化
信道负载预测
airborne tactical network
medium access control
multi-channel
particle swarm optimization
channel load prediction
作者简介
通信作者:管伟(1984-),男,硕士,工程师,主要研究方向为数据链组织运用、指挥控制系统组织运用.E-mail:kevin.guan237@gmail.com;冯煊(1983-),男,硕士,工程师,主要研究方向为数据链组织运用、指挥控制系统组织运用;郑博(1982-),男,博士,讲师,主要研究方向为航空自组网.
