一种适用于多数据链网络的信息过滤转发策略  

Information filtering and forwarding strategy suitable for multiple data link networks

作　　者：张瑞昕[1,2] 卜方玲[1] 惠毅 

机构地区：[1]武汉大学电子信息学院,武汉430072 [2]国防信息学院,武汉430000 [3]总参信息化部驻武汉地区军事代表室,武汉430074

出　　处：《计算机工程与应用》2015年第8期89-91,112,共4页Computer Engineering and Applications

基　　金：国家部委预研基金

摘　　要：针对多数据链网络的信息转发问题,提出一种新颖的数据抽样过滤策略,基于不同信息优先级采取有区分的数据抽样率和连续转发次数,且能实现二者的自学习调整过程。仿真结果表明,提出的信息过滤转发策略能够较好地满足不同优先级信息的转发要求并能快速收敛。Aiming at information forwarding problem of multiple data link networks, a novel data sample filtering strategy is proposed. According to different information priorities, the strategy adopts differential data sample rates and continuous forwarding numbers, and can achieve their self-learning adjustment process. The simulation results show that the pro-posed information filtering and forwarding strategy can meet the forwarding requirements of information with different priorities well and converge quickly.

关 键 词：信息转发 抽样过滤 抽样率 转发次数 自学习 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]