基于粒子群优化算法的机载战术网络信道负载预测机制  

Particle Swarm Optimization Based Channel Load Prediction Mechanism for Airborne Tactical Networks

作　　者：管伟 冯煊 郑博[2] 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)

机构地区：[1]解放军31006部队,北京100840 [2]空军工程大学信息与导航学院,陕西西安710077

出　　处：《指挥与控制学报》2020年第1期68-74,共7页Journal of Command and Control

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.

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 

分 类 号：V271.4[航空宇航科学与技术—飞行器设计] TP18[自动化与计算机技术—控制理论与控制工程] V243[自动化与计算机技术—控制科学与工程]