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Performance modeling of network coding based epidemic routing in DTNs

机译:DTN中基于网络编码的流行路由的性能建模

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In Delay Tolerant Networks (DTNs), how to transmit data efficiently is one of the most important issues. Recently, Random Linear Network Coding (RLNC) is proposed as a promising approach to improve data transmission efficiency in DTNs. To facilitate the development of deployment of RLNC based routing protocols, it is imperative to quantify the performance gain brought by RLNC in a rigorous and systematic way. In this paper, we develop an analytical model to evaluate the data transmission performance of RLNC based epidemic routing in DTNs. In the model, we consider that multiple unicast communication sessions compete for limited transmission capacity. Numerical results validate the effectiveness of our analytical model and demonstrate the significant performance improvement for data transmission in DTNs by using RLNC. Our work in this paper provides a general tool for performance evaluation and useful guidelines for designing RLNC based routing protocols in DTNs.
机译:在延迟容忍网络(DTN)中,如何有效地传输数据是最重要的问题之一。最近,随机线性网络编码(RLNC)被提出作为一种有前途的方法来提高DTN中的数据传输效率。为了促进基于RLNC的路由协议的部署开发,必须严格而系统地量化RLNC带来的性能增益。在本文中,我们建立了一个分析模型来评估DTN中基于RLNC的流行路由的数据传输性能。在模型中,我们认为多个单播通信会话会争夺有限的传输容量。数值结果验证了我们的分析模型的有效性,并证明了使用RLNC在DTN中进行数据传输的显着性能改进。我们在本文中的工作为性能评估提供了一个通用工具,并为在DTN中设计基于RLNC的路由协议提供了有用的指导。

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