Improving Bundle Routing in a Space DTN by Approximating the Transmission Time of the Reliable LTP

IF 3.6 3区 医学 Q2 NEUROSCIENCES Network Neuroscience Pub Date : 2023-02-03 DOI:10.3390/network3010009
R. Lent
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Abstract

Because the operation of space networks is carefully planned, it is possible to predict future contact opportunities from link budget analysis using the anticipated positions of the nodes over time. In the standard approach to space delay-tolerant networking (DTN), such knowledge is used by contact graph routing (CGR) to decide the paths for data bundles. However, the computation assumes nearly ideal channel conditions, disregarding the impact of the convergence layer retransmissions (e.g., as implemented by the Licklider transmission protocol (LTP)). In this paper, the effect of the bundle forwarding time estimation (i.e., the link service time) to routing optimality is analyzed, and an accurate expression for lossy channels is discussed. The analysis is performed first from a general and protocol-agnostic perspective, assuming knowledge of the statistical properties and general features of the contact opportunities. Then, a practical case is studied using the standard space DTN protocol, evaluating the performance improvement of CGR under the proposed forwarding time estimation. The results of this study provide insight into the optimal routing problem for a space DTN and a suggested improvement to the current routing standard.
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通过逼近可靠LTP的传输时间改进空间DTN中的分组路由
由于空间网络的运行是经过仔细规划的,因此可以利用节点随时间推移的预期位置,从链路预算分析中预测未来的接触机会。在空间容忍延迟网络(DTN)的标准方法中,接触图路由(CGR)使用这些知识来确定数据包的路径。然而,计算假设了近乎理想的信道条件,忽略了收敛层重传的影响(例如,由Licklider传输协议(LTP)实现)。本文分析了包转发时间估计(即链路服务时间)对路由最优性的影响,并讨论了有耗信道的精确表达式。首先从一般和协议不可知的角度进行分析,假设了解接触机会的统计特性和一般特征。然后,利用标准空间DTN协议研究了一个实际案例,评估了在提出的转发时间估计下CGR的性能改进。本研究的结果为空间DTN的最优路由问题提供了深入的见解,并对当前的路由标准提出了改进建议。
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来源期刊
Network Neuroscience
Network Neuroscience NEUROSCIENCES-
CiteScore
6.40
自引率
6.40%
发文量
68
审稿时长
16 weeks
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