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SDN-Based Data Forwarding in Fog-Enabled Smart Grids

机译：基于SDN的数据转发在启用迷雾的智能网格中

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摘要

Data forwarding becomes a challenging issue in fog-enabled smart grids as the size of networks increases. An efficient routing mechanism is required for the fog-enabled smart grids especially for latency-sensitive Internet of Things (IoT) applications. This paper proposes an Software Defined Networking (SDN)-based data forwarding scheme for fog-enabled smart grids. This scheme integrates SDN technology with fog computing, aiming to forward the data with less latency by calculating the shortest path between the source and destination points. To ensure shortest paths, Dijkstra algorithm is employed over different topologies. In addition, for link failures, a path recovery mechanism is realized to ensure uninterrupted data transmission. During the experiments, forwarding time, throughput, and transmission overhead are measured over different topologies. The performance results show that our scheme achieves a better forwarding time performance than existing methods. Also, the forwarding time is affected by the number of link failures but the path recovery is successfully able to sustain the forwarding process. As the topology becomes more complex, throughput and transmission time increase as well.
机译：由于网络的大小增加，数据转发成为启用迷雾的智能网格中的具有挑战性的问题。雾化智能电网需要一个有效的路由机制，尤其是延迟敏感的东西（物联网）应用程序。本文提出了一种用于启用迷雾的智能网格的软件定义的网络（SDN）数据转发方案。该方案通过雾计算集成了SDN技术，旨在通过计算源和目标点之间的最短路径来转发延迟较少的数据。为了确保最短路径，Dijkstra算法在不同的拓扑上使用。另外，对于链路故障，实现了路径恢复机制以确保不间断的数据传输。在实验期间，在不同的拓扑上测量转发时间，吞吐量和传输开销。性能结果表明，我们的计划比现有方法实现了更好的转发时间性能。此外，转发时间受链路故障的数量的影响，但路径恢复成功能够维持转发过程。由于拓扑变得更复杂，吞吐量和传输时间也增加。

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