基于流量预测的物联网卫星节点动态缓存分配路由策略  

Dynamic cache allocation routing strategy of Internet of things satellite node based on traffic prediction

作　　者：王卫东[1] 王程[1] 王慧文 徐玭 WANG Weidong;WANG Cheng;WANG Huiwen;XU Pin(School of Electronic Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China)

机构地区：[1]北京邮电大学电子工程学院

出　　处：《通信学报》2020年第2期25-35,共11页Journal on Communications

基　　金：国家重点研发计划基金资助项目（No.2017YFC0804400,No.2017YFC0804405）;国家自然科学基金资助项目（No.61801033)~~

摘　　要：针对低轨物联网卫星系统的路由问题,提出了基于流量预测的物联网卫星节点动态缓存分配路由策略。首先,分析低轨卫星覆盖区域内业务分布的时空特性,提出了端到端流量预测方法。然后,根据流量预测结果,提出了动态缓存分配路由策略。卫星节点通过对星间链路的流量负载进行周期性监测,动态分配与邻居节点间各条星间链路的缓存资源,分为初始化和系统运行2个阶段。同时,提出了节点拥塞时的业务分流及数据分组转发策略,通过比较排队时延和转发时延的大小,决定数据分组是否需要进行重路由。仿真结果表明,所提路由策略有效地降低了分组丢失率及平均端到端时延,改善了业务在全网的分布情况。Aiming at the routing problem of low earth orbit(LEO) Internet of things(IoT) satellite systems, a dynamic cache allocation routing strategy based on traffic prediction for IoT satellite nodes was proposed. Firstly, the space-time characteristics of traffic distribution in the LEO coverage area were analyzed, and an end-to-end traffic prediction model was proposed. Then, according to the traffic prediction result, a dynamic cache allocation routing strategy was proposed. The satellite node periodically monitored the traffic load of the inter-satellite link, dynamically allocated the cache resources of each inter-satellite link between the neighboring nodes. The cache allocation process was divided into two phases, initialization and system operation. At the same time, the traffic offload and packet forwarding strategy when the node was congested was proposed. By comparing the queuing delay and the forwarding delay, it was determined whether the data packet needs to be rerouted. The simulation results show that the proposed routing strategy effectively reduces the packet loss rate and average end-to-end delay, and improves the traffic distribution in the whole network.

关 键 词：低轨卫星 路由 缓存分配 物联网 

分 类 号：TN911.22[电子电信—通信与信息系统]