一种低轨遥感卫星按需数据传输机制
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摘要
针对现有低轨(LEO)遥感卫星数据下行机制普遍存在的低效率、高时延、传输路径易损等问题,提出了一种新型的遥感数据传输机制。所提机制中,支持地面站按需实时定位遥感影像资源,并建立定位卫星到达地面站的传输路径;在建立传输路径时,考虑到协作卫星与地面的可视时间有限,提出了以路径持续服务时间最大化为度量的路由算法,降低因协作卫星改变而引入的传输时延。基于NS3仿真平台实现了所设计的数据传输机制,实验表明,提出机制相比现有数据传输机制可降低数据传输时延,减少数据丢失。
Aimed at the shortcomings of the existing data downlink mechanisms for low earth orbit( LEO)remote sensing satellite,such as low effiency,high delay and vulnerable transmission path,a new remote sensing data transmission mechanism was proposed. In the proposed mechanism,earth stations were supported to locate remote sensing image resources in real time on demand,and in the process,the transmission path from the positioning satellite to earth station was established. Taking into account the limited visual time between the cooperative satellite and the earth station,when transmission path is established,a routing algorithm was proposed based on the maximization of the path persistent service time to reduce the transmission delay caused by the change of the cooperative satellite. The designed data transmission mechanism was implemented based on the NS3 simulation platform. The experimental results show that the proposed mechanism can reduce the data transmission delay and data loss compared with the existing data transmission mechanism.
Aimed at the shortcomings of the existing data downlink mechanisms for low earth orbit( LEO)remote sensing satellite,such as low effiency,high delay and vulnerable transmission path,a new remote sensing data transmission mechanism was proposed. In the proposed mechanism,earth stations were supported to locate remote sensing image resources in real time on demand,and in the process,the transmission path from the positioning satellite to earth station was established. Taking into account the limited visual time between the cooperative satellite and the earth station,when transmission path is established,a routing algorithm was proposed based on the maximization of the path persistent service time to reduce the transmission delay caused by the change of the cooperative satellite. The designed data transmission mechanism was implemented based on the NS3 simulation platform. The experimental results show that the proposed mechanism can reduce the data transmission delay and data loss compared with the existing data transmission mechanism.
引文
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[15]马林华,张嵩,茹乐,等.航空高动态网络链路感知OLSR路由算法[J].北京航天航空大学学报,2016,42(7):1326-1334.MA L H,ZHANG S,RU L,et al. Link awareness-based OLSR routing algorithm for airborne highly dynamic networks[J].Journal of Beijing University of Aeronautics and Astronautics,2016,42(7):1326-1334(in Chinese).
[16] LI T,JI H,MEI J Q. Topology mismatch avoidable cross-layer protocol for P2P file discovery in MANETs[C]∥Proceedings of 2009 IEEE Wireless Communications&Networking Conference. Piscataway,NJ:IEEE Press,2009:2943-2947.
[17]祝振凱,黄传河.基于链路信息的卫星网络最优路径选择策略[J].计算机工程与科学,2017,39(3):470-476.ZHU Z K,HUANG C H. An optimized path selecting strategy in satellite network based on satellite link information[J]. Computer Engineering&Science,2017:39(3):470-476(in Chinese).
[2] ZHOU D,SHENG M,LUI K S,et al. Lifetime maximization routing with guaranteed congestion level for energy-constrained LEO satellite networks[C]∥Proceedings of 2016 IEEE Vehicular Technology Conference Spring. Piscataway,NJ:IEEE Press,2016:1-5.
[3] YARR N,CERIOTTI M. Optimization of inter-satellite routing for real-time data download[J]. IEEE Transactions on Aerospace&Electronic Systems,2018,54(5):2356-2369.
[4]刘沛龙,陈宏宇,魏松杰,等. LEO卫星网络海量遥感数据下行的负载均衡多径路由算法[J].通信学报,2017,38(Z1):135-142.LIU P L,CHEN H Y,WEI S J,et al. Load balancing multipath routing protocol for mass remote sensing data downlink in LEO satellite network[J]. Journal on Communications,2017,38(Z1):135-142(in Chinese).
[5] LV T,LIU W,HUANG H,et al. Optimal data downloading by using inter-satellite offloading in LEO satellite networks[C]∥Proceedings of 2016 IEEE Global Communications Conference.Piscataway,NJ:IEEE Press,2016:1-6.
[6]刘立芳,吴丹,郎晓光,等. GEO/LEO卫星网络的数据传输与抗毁性技术[J].西安电子科技大学学报(自然科学版),2018,45(1):1-5.LIU L F,WU D,LANG X G,et al. Research on data transmission and survivability technology of the GEO/LEO satellite network[J]. Journal of Xidian University(Natural Science),2018,45(1):1-5(in Chinese).
[7] WU Y,YANG Z,ZHANG Q. A novel DTN routing algorithm in the GEO-relaying satellite network[C]∥Proceedigns of 2015International Conference on Mobile Ad-Hoc and Sensor Networks. Piscataway,NJ:IEEE Press,2015:264-269.
[8]柴嘉薪,王新龙,俞能杰,等.高轨航天器GNSS信号传播链路建模与强度分析[J].北京航天航空大学学报,2018,44(7):1496-1503.CHAI J X,WANG X L,YU N J,et al. Modeling and intensity analysis of GNSS signal link for high-orbit space-craft[J]. Journal of Beijing University of Aeronautics and Astronautics,2018,44(7):1496-1503(in Chinese).
[9] ZHANG T,LI H,ZHANG S,et al. A storage-time-aggregated graph-based Qo S support routing strategy for satellite networks[C]∥Proceedings of 2017 IEEE Global Communications Conference. Piscataway,NJ:IEEE Press,2017:1-6.
[10] LI X,TANG F,CHEN L,et al. A state-aware and load-balanced routing model for LEO satellite networks[C]∥Proceedings of2017 IEEE Global Communications Conference. Piscataway,NJ:IEEE Press,2017:1-6.
[11] TANG F,ZHANG H,FU L,et al. Multipath cooperative routing with efficient acknowledgement for LEO satellite networks[J].IEEE Transactions on Mobile Computing,2019,18(1):179-182.
[12]杨力,孙晶,潘成胜,等.基于多目标决策的LEO卫星网络多业务路由算法[J].通信学报,2016,37(10):25-32.YANG L,SUN J,PAN C S,et al. LEO multi-service routing algorithm based on multi-objective decision making[J]. Journal on Communications,2016,37(10):25-32(in Chinese).
[13] XU W C,JIANG M,TANG F L,et al. Network coding-based multi-path routing algorithm in two-layered satellite networks[J]. IET Communications,2018,12(1):2-8.
[14]徐方,张沪寅,徐宁,等.基于上下文认知的高效能路由算法[J].华南理工大学学报,2015,43(5):139-144.XU F,ZHANG H Y,XU N,et al. An energy-efficient routing algorithm based on context awareness[J]. Journal of South China University of Technology,2015,43(5):139-144(in Chinese).
[15]马林华,张嵩,茹乐,等.航空高动态网络链路感知OLSR路由算法[J].北京航天航空大学学报,2016,42(7):1326-1334.MA L H,ZHANG S,RU L,et al. Link awareness-based OLSR routing algorithm for airborne highly dynamic networks[J].Journal of Beijing University of Aeronautics and Astronautics,2016,42(7):1326-1334(in Chinese).
[16] LI T,JI H,MEI J Q. Topology mismatch avoidable cross-layer protocol for P2P file discovery in MANETs[C]∥Proceedings of 2009 IEEE Wireless Communications&Networking Conference. Piscataway,NJ:IEEE Press,2009:2943-2947.
[17]祝振凱,黄传河.基于链路信息的卫星网络最优路径选择策略[J].计算机工程与科学,2017,39(3):470-476.ZHU Z K,HUANG C H. An optimized path selecting strategy in satellite network based on satellite link information[J]. Computer Engineering&Science,2017:39(3):470-476(in Chinese).