Autonomous Network Slicing and Resource Management for Diverse QoS in IoT Networks

The diversity of QoS requirements in modern IoT networks is expanding thus requiring more flexible and autonomous solutions. Network Slicing is an efficient technology that can enable efficient and flexible management of QoS in IoT networks by dividing network resources into small chinks and assigning them to the slices. However, proposed solutions in literature require predefined slices which require prior knowledge of network traffic thus limiting application of these solutions. To address this limitation, we have developed a dynamic and autonomous network slicing solution in a WiFi based IoT network using 5GEmpower SDN controller that creates slices depending on user traffic flows and priorities. Moreover, it autonomously estimates slice throughput requirements to subsequently allocate network resources to meet their QoS requirements. Our system is able to differentiate between multiple QoS requirements and provides framework for flexible prioritization policies for better QoS in IoT networks.