SDN-based Internet of Things network data forwarding system

Abstract

The invention discloses a SDN-based Internet of Things data forwarding system, and belongs to the control application field of the SDN network traffic. The system comprises an Internet of Things equipment layer, an OpenFlow switch layer, a SDN control layer, a REST API abstract layer, an Internet of Things client layer. After the Internet of Things data is collected, the system firstly classifies the data in the Internet of Things, and then performs secondary processing on pointedly according to the classification result, the data after the secondary processing is sent to a priority controller to judge the priority, and the data is forwarded according to the network environment. The SDN is combined with the forwarding of the Internet of Things data, the data forwarding is pointedly performed according to the features of the Internet of Things data while processing large-scale Internet of Things data; the utilization efficiency of the network is improved, the robustness of the network is guaranteed, and the system has actual application value.

Description

technical field [0001] The invention relates to the field of software-defined networks, in particular to a data forwarding system of the Internet of Things in the field of software-defined networks. Background technique [0002] With the rapid development of the Internet of Things technology, the infrastructure of the Internet of Things network is constantly improving, and the data types of the Internet of Things network are also showing a trend of diversification. Various structured data and unstructured data are mixed, large-scale video image data and conventional parameters Data coexist. However, in this environment of multiple data fusion, the traditional network still uses the conventional network data forwarding method to forward the IoT network data indiscriminately, which leads to different types of IoT network data. The requirements for delay and bandwidth cannot be fully met, and the network forwarding efficiency is low. [0003] Traditional traffic identificatio...

AI Technical Summary

Problems solved by technology

However, in this environment of multiple data fusion, the traditional network still uses the conventional network data forwarding method to forward the IoT network data indiscriminately, which leads to different types of IoT network data. The requirements for delay, bandwidth, etc. cannot be fully met, and the network forwarding efficiency is low

[0003] Traditional traffic identification methods usually use DPI detection, which places a heavy load on the CPU. In IoT network data, in addition to the diversification of data types, there are also characteristics of data fragmentation. Data fragmentation and The high CPU load makes the network switching equipment in the Internet of Things must achieve high performance, resulting in high construction costs

Images