论文标题
在机会网络中，软件定义的网络方法用于拥堵控制
A Software-Defined Networking approach for congestion control in Opportunistic Networking
论文作者
论文摘要
机会性网络（OPPNET）的短期采用取决于改善此类网络的当前性能。软件定义的网络（SDN）体系结构由具有较高资源需求的Internet应用程序使用。 SDN技术通过使用控制层通过编程方式管理网络配置来改善网络性能。在本文中，我们建议OPPNET节点使用控制层来获取整个网络的概述，并使用此知识应用策略来获得更好的网络性能。作为我们实验的用例，我们专注于通过控制层动态调节转发算法使用的复制度的控制层改善OPPNET的拥塞控制。我们将提案的性能与OPPNET的两种不同配置进行了比较，这是基于实际移动性痕迹的两个社区场景。该测试的结果证明，我们类似SDN的方法在交付比和延迟时间性能方面超越了其他两种方法。
The short-term adoption of opportunistic networks (OppNet) depends on improving the current performance of this type of network. Software-Defined Networks (SDN) architecture is used by Internet applications with high resource demand. SDN technology improves network performance by programmatically managing the network configuration by using a control layer. In this paper, we propose that OppNet nodes use a control layer to get an overview of the whole network and use this knowledge to apply policies to get a better performance of the network. As a use case for our experimentation, we have focused on improving congestion control in OppNet with a control layer that dynamically regulates the replication degree used by forwarding algorithms. We have compared the performance of our proposal with two different configurations of the OppNet, over two community scenarios based on real mobility traces. The results of the test prove that our SDN-like approach overruns the other two approaches in terms of delivery ratio and latency time performance.
