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SDN-Based Data Forwarding in Fog-Enabled Smart Grids

机译:启用雾的智能电网中基于SDN的数据转发

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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:随着网络规模的扩大,在启用雾的智能电网中,数据转发成为一个具有挑战性的问题。启用雾的智能网格需要高效的路由机制,尤其是对延迟敏感的物联网(IoT)应用程序。本文为启用雾的智能电网提出了一种基于软件定义网络(SDN)的数据转发方案。该方案将SDN技术与雾计算集成在一起,旨在通过计算源点和目标点之间的最短路径以较少的延迟转发数据。为了确保最短路径,Dijkstra算法用于不同的拓扑。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。在实验过程中,转发时间,吞吐量和传输开销是通过不同的拓扑进行测量的。性能结果表明,该方案比现有方法具有更好的转发时间性能。同样,转发时间受链路故障数的影响,但是路径恢复可以成功地维持转发过程。随着拓扑变得越来越复杂,吞吐量和传输时间也会增加。

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