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.

中文翻译：

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一种用于机会网络中拥塞控制的软件定义网络方法

机会网络 (OppNet) 的短期采用取决于提高此类网络的当前性能。软件定义网络 (SDN) 架构由具有高资源需求的 Internet 应用程序使用。SDN 技术通过使用控制层以编程方式管理网络配置来提高网络性能。在本文中，我们建议 OppNet 节点使用控制层来获得整个网络的概览，并使用这些知识来应用策略以获得更好的网络性能。作为我们实验的一个用例，我们专注于通过控制层来改进 OppNet 中的拥塞控制，该控制层动态调节转发算法使用的复制程度。我们已经将我们的提案与 OppNet 的两种不同配置的性能进行了比较，基于真实移动轨迹的两个社区场景。测试结果证明，我们的类 SDN 方法在交付率和延迟时间性能方面优于其他两种方法。