基于多星協(xié)作的空間信息網(wǎng)組網(wǎng)關(guān)鍵技術(shù)研究
本文選題:空間信息網(wǎng) + 組網(wǎng) ; 參考:《北京郵電大學(xué)》2015年碩士論文
【摘要】:作為地面網(wǎng)絡(luò)的延伸以及衛(wèi)星網(wǎng)絡(luò)的拓展,空間信息網(wǎng)(Space Information Network, SIN)因其覆蓋面廣、組網(wǎng)靈活、建網(wǎng)快以及不受地理環(huán)境限制等優(yōu)點(diǎn),可以為各種空間任務(wù)提供集成式的通信服務(wù)。然而隨著信息化以及通信業(yè)務(wù)的發(fā)展,現(xiàn)代信息社會(huì)對(duì)空間信息網(wǎng)的組網(wǎng)能力也提出了更高的要求,以尋求更全面的服務(wù)范圍、更優(yōu)質(zhì)的服務(wù)質(zhì)量。因此本論文致力于空間信息網(wǎng)中的組網(wǎng)關(guān)鍵技術(shù)的研究,從網(wǎng)絡(luò)結(jié)構(gòu)設(shè)計(jì)、拓?fù)淇刂、接入控制三個(gè)角度提高空間信息網(wǎng)的組網(wǎng)能力。 本論文在深入研究空間信息網(wǎng)研究現(xiàn)狀的基礎(chǔ)上,重點(diǎn)研究了星座結(jié)構(gòu)設(shè)計(jì)、多拓?fù)渎酚梢约敖尤胪吮芩惴?論文的主要?jiǎng)?chuàng)新性研究成果如下: (1)在分析衛(wèi)星網(wǎng)絡(luò)星座結(jié)構(gòu)設(shè)計(jì)原則的基礎(chǔ)上,提出了GEO/MEO/LEO星座結(jié)構(gòu)設(shè)計(jì)方案,仿真研究了所提星座結(jié)構(gòu)的對(duì)地覆蓋時(shí)長(zhǎng)以及覆蓋百分比性能,研究結(jié)果表明所提的星座結(jié)構(gòu)具有百分百覆蓋地球表面并且提供180s以上連續(xù)覆蓋時(shí)間的性能。 (2)設(shè)計(jì)了一種空間信息網(wǎng)中面向任務(wù)的多拓?fù)渎酚伤惴?根據(jù)業(yè)務(wù)的QoS (Quality of Service)要求以及空間信息網(wǎng)中的空間節(jié)點(diǎn)忙碌度為業(yè)務(wù)設(shè)定不同的子拓?fù)?進(jìn)行路由和數(shù)據(jù)的傳輸。仿真研究了所提算法對(duì)網(wǎng)絡(luò)吞吐量、時(shí)延性能以及鏈路利用率的改進(jìn),研究結(jié)果表明論文中提出的多拓?fù)渎酚伤惴ǹ梢杂行У靥嵘龢I(yè)務(wù)的吞吐量、降低業(yè)務(wù)傳輸時(shí)延并提高網(wǎng)絡(luò)的鏈路利用率,并且在網(wǎng)絡(luò)負(fù)載較大的情況之下改進(jìn)的效果更明顯。 (3)在分析空間信息網(wǎng)的接入策略以及經(jīng)典退避算法的基礎(chǔ)上,提出了一種基于灰色模型的時(shí)隙ALOHA接入退避算法,采用灰色系統(tǒng)中的GM(1,1)模型對(duì)空間信息網(wǎng)中的信道接入成功率進(jìn)行預(yù)測(cè),并由此判斷當(dāng)前網(wǎng)絡(luò)狀態(tài),以自適應(yīng)的設(shè)置時(shí)隙ALOHA接入算法的退避重發(fā)等待時(shí)間,增強(qiáng)退避重發(fā)的成功率。仿真研究了所提算法中GM(1,1)的預(yù)測(cè)精度、所提算法對(duì)吞吐量和時(shí)延的改進(jìn),研究結(jié)果表明,GM(1,1)模型可以對(duì)信道接入成功率進(jìn)行高精度的預(yù)測(cè),并且該算法可以有效地提升系統(tǒng)的吞吐量,降低網(wǎng)絡(luò)傳輸時(shí)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.
【學(xué)位授予單位】:北京郵電大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類(lèi)號(hào)】:TN915.05
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