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作 者:刘沛龙[1,2,3] 陈宏宇 魏松杰[4] 程浩 李帅[4] 汪骏勇[1,2,3]
机构地区:[1]中国科学院上海微系统与信息技术研究所,上海200050 [2]上海微小卫星工程中心,上海201203 [3]中国科学院大学,北京101407 [4]南京理工大学计算机与工程学院,江苏南京210094
出 处:《通信学报》2017年第A01期135-142,共8页Journal on Communications
摘 要:LEO卫星网络能够为各类用户提供全球无缝实时数据通信,近年来得到了快速发展。与此同时,空间数据源如遥感卫星的海量载荷数据下行体制依旧采用传统的存储转发方式,如果将此类卫星接入配有星间链路的LEO卫星网络,可以有效提高空间任务数据的实时性。但是需要为这种应用需求设计专门的卫星网络负载均衡路由算法。针对视频卫星实时直播的应用场景,设计了一套并行链路不相交多径路由算法SPEMR。OPNET仿真结果表明SPEMR实现的多径方案的性能劣化指数为0.32,仅为TLR路由协议的32%,传统DSP方案的21%,具有相对更强的实时传输海量数据的能力。LEO satellite networks can provide seamless real-time data communication for all kinds of users, which de-veloped rapidly in recent years. At the mean time, the massive payload data down-link system of space data sources, such as remote sensing satellites, still make use of traditional storage and forward mode. The real-time performance of space mission data will be improved effectively, if such satellites are connected to LEO satellite networks equipped with inter satellite links. However, it is necessary to design a specialized satellite network load balancing routing algorithm. Satellite parallel edge-disjoint multipath routing protocol (SPEMR) was designed for remote sensing satellite real-time down-link applications. OPNET simulation results indicate that the performance degradation index(DI) of the multipath scheme im-plemented by SPEMR is 0.32, which is only 32% of the TLR and 21% of the traditional DSP scheme. It is demonstrated that SPEMR has the better capability of transmitting massive data in real time.
分 类 号:TN927[电子电信—通信与信息系统]
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