论文标题

易耐受耐受网络协议的权衡分析

Trade-off analysis of disruption-tolerant networking protocols

论文作者

Singam, Caitlyn A. K.

论文摘要

该分析的目的是模拟三种不同的临时协议的性能,以进行中断耐受性网络(DTN) - 即,在容易发生的上下文中,通过节点网络传输信息,以信号中断/信号降级 - 并执行折衷分析,该分析将对最佳的动作(COA)提供最佳的行动(COA),以供太空用户使用。这对于尤其是空间网络很重要,因为长距离传输信息,例如从直接从初始节点到目标节点 - 将导致终端信号相对较弱,这在高噪声(易于破坏)环境中是有问题的,因为它可能会导致数据包降解或丢失,除非信号功率增加以补偿。鉴于,当一个人的网络位于空间中时,每次传输的信号功率都不可行,因此信号途径的优化是确保发射信号迅速到达目的地并以最大的保真度到达其目的地的最佳手段。在分析结束时确定的建议的COA是以一种方式优化性能的方式,该性能在最大程度上最大程度地减少了传输和传输时间的误差。该分析考虑到基于空间通信系统的用户的传输时间和传输错误的相对价值(例如,科学任务 - 最有可能的空间接力网络用户类型的类型 - 将数据完整性优先于比传输时间高得多,因为即使更长的传输时间等于更大的成本,但较低的数据完整性可能会导致该任务的科学目标导致科学目标的同步,并因此提供了推荐)。

The objective of this analysis was to simulate the performance of three different ad-hoc protocols for disruption-tolerant networking (DTN) - i.e. the transfer of information through a network of nodes in contexts prone to signal interruption/signal degradation - and to perform a trade-off analysis that will yield a recommendation of the best course of action (COA) for a user of a space-based network to employ. This is important for space-based networks in particular since transmitting information over long distances - e.g. from directly from the initial node to the destination node - will result in the terminal signal being relatively weak, which is problematic in a high noise (disruption-prone) environment since it will likely result in packet degradation or loss unless signal power is increased to compensate. Given that changing signal power for each transmission is impractical when one's network is located in space, optimization of the signal route is the best means of ensuring the transmitted signal reaches its destination rapidly and with maximum fidelity. The recommended COA, as determined at the end of the analysis, is one that optimizes performance in a fashion that minimizes error during transmission and transmission time to the greatest extent possible. This analysis takes into consideration the relative value of transmission time and transmission error for a user of space-based communication systems (for instance, a scientific mission - the most likely type of user for a space-based relay network - would prioritize data integrity much higher than transmission time since even though a longer transmission time equals greater cost, a lower level of data integrity could result in the mission's scientific objective being compromised) and provides a recommendation accordingly.

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