A SDN-Based Traffic Information Acquirement Approach in Internet of Things
Renxiang Huang · 2019
In the Internet of Things (IoT) network, a large amount of monitoring data is integrated into the cloud through the network to improve the quality of life of citizens. In the future, there will be a large number of devices accessing the network, which will pose a huge challenge to network architecture and network management. The architecture of the Internet of Things is inflexible and scalable, and many types of devices connected to the network are sensitive to latency and bandwidth requirements. Internet of Things network management. Therefore, fine-grained and accurate traffic information is very important for the network management of the Internet of things. Software defined network (SDN) is a centralized control plane as the logic control center, making network management more flexible and efficient. Then, we collect fine-grained traffic information in the SDN-based Internet of things network to improve network management. In order to obtain traffic information with low overhead and high accuracy, we first collect coarse-grained traffic flow statistics, link fine-grained traffic, and then use intelligent optimization methods to improve traffic granularity and accuracy. Information. Since the optimization function of traffic information is NP-hard problem, we propose a heuristic algorithm to obtain the optimal solution of fine granularity measurement. Finally, some simulations validate the proposed measurement scheme. Simulation results show that this method can improve the granularity and accuracy of traffic information through intelligent optimization.