摘要
移动Ad Hoc网络中,节点之间的路径长度是构建QoS路由的一个重要参数,提出一种基于移动平均(MA)模型的网络路径长度预测方法.首先根据赤池信息量准则(AIC)确定MA模型的阶,然后对路径长度的历史和当前数据进行时间序列分析,找出之间的自相关性,从而预测未来路径长度.建立仿真实验,在AODV和DSR网络协议下,节点分别执行MHG和RPGM移动模型,通过提出的方法对各种场景下的路径长度进行预测,并根据性能指标评估预测性能.结果表明,提出的方法能够有效地预测未来路径长度.
The path length between nodes is an important parameter to build QoS routing in mobile ad hoc network,therefore a method base on Moving Average （MA）model that predict path length of network is proposed.Firstly,the order of MA model is determined according to Akaike Information Criterion （AIC）.Secondly,the time series of the historical and current path length data is analyzed to find out the self-correlation so as to predict the future path length.In simulation experiments,the nodes execute MHG and RPGM mobile models with AODV and DSR network protocol respectively,the proposed method is been used to predict the path length in different scenario and the performance of prediction is evaluated according to performance index.Experimental results show that the proposed method can predict the future path length effectively.
出处
《内蒙古师范大学学报（自然科学汉文版）》
CAS
北大核心
2015年第4期533-537,共5页
Journal of Inner Mongolia Normal University(Natural Science Edition)
基金
国家自然科学基金资助项目(61374022)
浙江省新型网络标准及其应用技术重点实验室开放课题(2013E10012)
