Centralized QoS Routing Model for Delay/Loss Sensitive Flows at the SDN-IoT Infrastructure

The rapidly increasing number of Internet of Things (IoT) devices and Quality of Service (QoS) requirements have made the provisioning of network solutions to meet this demand a major research topic. Providing fast and reliable routing paths based on the QoS requirements of IoT devices is very important task for Industry 4.0. The software-defined network is one of the most current interesting research developments, offering an efficient and effec-tive solution for centralized control and network intelligence. A new SDN-IoT paradigm has been proposed to improve network QoS, taking advantage of SDN architecture in IoT networks. At the present time, most publish-subscribe IoT platforms assume the same QoS requirements for all customers. How-ever, in many real-world scenarios of IoT applications, different subscribers may have different E2E delay requirements. Providing reliable differentiated services has become a relevant problem. For this we developed a technique for classifying IoT flows with the individual subscriber recommendation on the importance of certain parameters for particular classes of traffic taken into account. To improve the QoS for mission-critical IoT applications in large-scale SDN-IoT infrastructure, we focused on optimizing routing in the SDN. For this purpose, a centralized routing model based on QoS parame-ters and IoT priority flow for the SDN was proposed and implemented. We have compared the proposed routing model with the state-of-art deterministic multiconstrained centralized QoS routing model (DMCQR). The developed centralized routing model in comparison with the known DMCQR flow rout-ing achieved better balance of channel resources load due to rational choice of transmission paths for different traffic. And it was possible to reduce up to 3 times the average delay of real time flows service from end to end, for which with the existing DMCQR routing model the permissible delay rates were not met.