Optimierung und Modellierung eines IoT-zentrischen Mobilfunkkernnetzes (OMI)
| Partner | EMnify GmbH |
| Period | October 2022 - September 2025 |
| Mitarbeiter | Dr. Stefan Geißler |
Project Description
The Internet of Things is still growing and more and more different types of devices are participating. All of these devices have different requirements and exhibit different behaviors. This project revolves around determining these device-specific properties and identifying malfunctioning devices.
As part of the Optimization and modeling of an IoT-centric mobile core network (OMI) project, the Chair for Communication Networks at the University of Würzburg (JMU) is to carry out work on optimizing a fully virtualized mobile core network environment in the area of the Internet of Things. Among other things, the focus should be on quality assurance and related issues. These include, among other things, the investigation of network anomalies, the identification of device-specific traffic properties or the development of metrics for evaluating the Quality of Experience (QoE) at the user plane level.
Furthermore, investigations are to be carried out in the course of the project in order to optimize the system for resource-limited devices. Among other things, questions regarding energy efficiency and system architecture are to be examined.
Project Objectives
Inventory regarding available and relevant data points
- Listing data sources and description
- Rating and evaluating quality and usability of data for problems arising in the project
Traffic modeling and mechanisms
- Traffic models for aggregated traffic and traffic of individual devices
- Developing of data evaluation pipeline for efficient data export
Measurement environment
- Construction of a test bed consisting of real IoT devices
- Operation of end devices and carrying out measurements at JMU and the core network
Quality of Experience (QoE)
- Mechanisms and models for determining QoE of an IoT device
- Validation of these models
Resource-limited devices
- Optimizations for devices with limited resources in terms of performance and battery capacity
- Examining influence of faulty signaling behavior on the energy consumption of devices
