MIoT traffic flow management in 5G architecture
Nowadays in the race of technological revolution internet of things (IoT) is a crucial innovation. Because it enables the physical devices, vehicles, home appliances and other items to communicate with each other with or without human interaction via embedded smart sensors, actuators etc. Therefore, because of its growing demand for industrial vertices IoT devices are continuously growing in the operational market. Moreover, because of this increase, traffic generated from the IoT devices is also increasing which is termed as massive traffic.
Comparatively, device communication traffic is more than human communication traffic, because devices generate more data as compare to human. Therefore, these massive IoT devices are creating a burden on the network and introducing unacceptable delay in the critical communication. Furthermore, some applications will have priority over others – for example, a message relaying critical care issues needs to be fast-tracked above something more administrative. Abida's research will look into managing the traffic in scenarios such as this and controlling some of the devices that have less priority than others.
By using few enabling cellular technologies i.e. network function virtualization and by new concepts i.e. network slicing and back-off users, we will be able to manage the traffic load on the network and accommodate various services with acceptable QoE and QoS. “There are benefits of my research to small businesses. Rather than a business purchasing and using a network that doesn’t need to be fully utilised all of the time, they could hire it for a particular time of day in order to successfully manage demand. Hence, the existing physical infrastructure and resources will be reused based on the service demand. By allocating this network to busy periods only, SMEs and businesses are reducing cost.”