基于多星协作的空间信息网组网关键技术研究

发布时间：2018-06-17 11:31

本文选题：空间信息网 + 组网　；参考：《北京邮电大学》2015年硕士论文

【摘要】：作为地面网络的延伸以及卫星网络的拓展,空间信息网(Space Information Network, SIN)因其覆盖面广、组网灵活、建网快以及不受地理环境限制等优点,可以为各种空间任务提供集成式的通信服务。然而随着信息化以及通信业务的发展,现代信息社会对空间信息网的组网能力也提出了更高的要求,以寻求更全面的服务范围、更优质的服务质量。因此本论文致力于空间信息网中的组网关键技术的研究,从网络结构设计、拓扑控制、接入控制三个角度提高空间信息网的组网能力。本论文在深入研究空间信息网研究现状的基础上,重点研究了星座结构设计、多拓扑路由以及接入退避算法,论文的主要创新性研究成果如下： (1)在分析卫星网络星座结构设计原则的基础上,提出了GEO/MEO/LEO星座结构设计方案,仿真研究了所提星座结构的对地覆盖时长以及覆盖百分比性能,研究结果表明所提的星座结构具有百分百覆盖地球表面并且提供180s以上连续覆盖时间的性能。 (2)设计了一种空间信息网中面向任务的多拓扑路由算法,根据业务的QoS (Quality of Service)要求以及空间信息网中的空间节点忙碌度为业务设定不同的子拓扑,进行路由和数据的传输。仿真研究了所提算法对网络吞吐量、时延性能以及链路利用率的改进,研究结果表明论文中提出的多拓扑路由算法可以有效地提升业务的吞吐量、降低业务传输时延并提高网络的链路利用率,并且在网络负载较大的情况之下改进的效果更明显。 (3)在分析空间信息网的接入策略以及经典退避算法的基础上,提出了一种基于灰色模型的时隙ALOHA接入退避算法,采用灰色系统中的GM(1,1)模型对空间信息网中的信道接入成功率进行预测,并由此判断当前网络状态,以自适应的设置时隙ALOHA接入算法的退避重发等待时间,增强退避重发的成功率。仿真研究了所提算法中GM(1,1)的预测精度、所提算法对吞吐量和时延的改进,研究结果表明,GM(1,1)模型可以对信道接入成功率进行高精度的预测,并且该算法可以有效地提升系统的吞吐量,降低网络传输时延。
[Abstract]:As the extension of terrestrial network and the expansion of satellite network, Space Information Network (sins) can provide integrated communication services for various space missions because of its wide coverage, flexible networking, fast network construction and no restriction of geographical environment. However, with the development of information and communication services, the modern information society has put forward higher requirements for the networking capability of the spatial information network, in order to seek more comprehensive service scope and better service quality. Therefore, this paper is devoted to the research of the key technologies in the space information network, and improves the networking capability of the space information network from three aspects: network structure design, topology control and access control. Based on the research status of spatial information network, this paper focuses on constellation structure design, multi-topology routing and access Backoff algorithm. The main innovative research results are as follows: 1) based on the analysis of satellite network constellation structure design principle, a GEO / MEO / Leo constellation structure design scheme is proposed. The performance of the proposed constellation structure for the coverage duration and coverage percentage is studied by simulation. The results show that the proposed constellation structure has the capability of covering the earth's surface 100% and providing a continuous coverage time of more than 180s. A task-oriented multi-topology routing algorithm in the spatial information network is designed. According to the requirement of QoS quality of Service and the busy degree of spatial nodes in the spatial information network, different sub-topologies are set for the service to route and transmit data. Simulation results show that the proposed multi-topology routing algorithm can effectively improve the throughput of the network, delay performance and link utilization. It can reduce the delay of traffic transmission and improve the link utilization ratio of the network, and the effect of the improvement is more obvious when the network load is large. (3) based on the analysis of the access strategy of the spatial information network and the classical Backoff algorithm, In this paper, a timeslot Aloha Backoff algorithm based on grey model is proposed. The GMM1 / 1) model in grey system is used to predict the success rate of channel access in spatial information network, and the current network status is judged. In order to enhance the success rate of Backoff retransmission, the adaptive time slot setting Aloha access algorithm is used to improve the Backoff retransmission waiting time. Simulation results show that the proposed algorithm can predict the channel access success rate with high accuracy, and the proposed algorithm improves the throughput and time delay of the proposed algorithm, and the simulation results show that the proposed algorithm can be used to predict the channel access success rate with high precision, and the simulation results show that the proposed algorithm can predict the channel access success rate with high precision. The algorithm can effectively improve the throughput of the system and reduce the network transmission delay.
【学位授予单位】：北京邮电大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TN915.05

【参考文献】