Teaching

Contents: Publications | Teaching | Working Group | Projects

Lectures

• WS2021: Rechnernetze und Informationsübertragung
• WS2019: Steuerungsprinzipien moderner Kommunikationssysteme
• SS2018: Simulationstechnik

 

Supervised Theses

2023

• Markus Ebner A Simulative Energy Efficiency Study of LoRaWAN Deployments
• Noah Mehling: Network Planning for LoRaWAN: A Simulative Performance Evaluation
• Eric Zischka: Simulative Energy Consumption and Efficiency Study for LoRaWAN Gateway Placements
• Leon Höpfel: Assessment of Cellular Network Quality in the Bavarian Road System based on Crowdsourced Measurements
• Johannes Schleicher: Measurement based Evaluation of an Automated Production Part Control with a myCobot Robot
• Carina Baur: Testbed Establishment with an Arduino Robot

2022

• Yannick Pfeiffer: Simulative Collision Study for Different Channel Access Approaches in LoRaWAN
• Noah Mehling: Analyzing Graph Centrality Metrics for LoRaWAN Gateway Placement
• Carina Baur: Cluster-Based Gateway Placement and Simulative Performance Study in LoRaWAN
• Kathrin Hildebrand: Machine Learning Based Prediction of Quality Metrics for Twitch.tv Live Streaming
• Markus Ebner: Design and Proof-of-Concept Implementation of a Smartphone-based Network Management Agent
• Noah Mehling: Request-based Buffer Prediction in HTTP Adaptive Video Streaming
• David Raunecker: Modification and Extension of a Tool for Video Streaming Measurements to include Netflix Data

2021

• Maria Andreea Mihuta: Simulative Multi-Channel Transmission Study for LoRaWAN Messages
• Danny Easton: Simulative Performance Study of Listen before Talk Approaches for LoRaWAN
• Johannes Jungkunst: Network Level Identification and Analysis of Live Streaming Flows of Twitch.tv
• Philipp Jung: Studying the Application Behavior of Twitch.tv Live Streaming
• Noah Mehling: Simulative Performance Study of Slotted ALOHA for LoRaWAN Channel Access
• Kester Schuster: Quality Prediction of Mobile YouTube Video Streaming using Uplink Requests
• Philipp König: Study of the LoRaWAN Simulation Framework FLoRa
• Filip Simonovski: Prototype Implementation of an Open Data City Platform with dkan and Node-Red
• Johannes Schleicher: Evaluation of Different Approaches for Video-Based Traffic Counting

2020

• Bernd Zeidler: Development and Application of an Automated Streaming Application Measurement Tool
• David Raunecker: Uplink-Request based StallingPrediction from YouTube App Traffic via Machine Learning
• Fabian Poignée: Machine Learning Approach to Predict Video Streaming Behavior at Network Layer
• Lukas Tönsing: Prediction of YouTube’s Chunk Request from Monitored Encrypted Network Traffic

2019

• Shpend Berani: Studying the Initial Delay of the Mobile YouTube App
• Michael Morell: Traffic Measurement Study for Real-Time Video Streaming with a Remote Controllable Drone
• Filip Simonovski: Studying the Video Segmentation for different Streaming Platforms
• Ferdinand Leidinger: Studying the Initial Delay of the YouTube Mobile App with TensorFlow

2018

• Ramadan Shweiki: Traffic Profile of a Remote Controllable Drone
• Fabian Poignée: Influence of Tension on QoE in Video Streaming
• Fabian Schaible: Data Traffic Assessment of the Google Home and Amazon Echo Dot
• Viktoria Vomhoff: Traffic Measurement Study of the Amazon Echo Show

Seminars

WS 2023/24

• Carina Baur: Effort in QoE Degradation Prediction

SS 2023

• Simon Bosch: Quality of Information in IoT Networks

WS 2022/23

• Carina Baur: Studying the Energy Efficiency In LoRaWAN Transmissions
• Shifa Ali: Quality of Service Assessment in the Internet of Things

SS 2022

• Eric Zischka: Real Time Video-based Object Detection in an Industry 4.0 Context

WS 2021/22

• Moritz Finke: Real-Time Communication of Augmented Reality in Industry 4.0
• Markus Ebner: Collision Avoidance and Decoding Mechanisms in LoRaWAN

SS 2021

• Johannes Jungkunst: Low Latency Live Streaming in DASH
• Yannick Pfeiffer: LoRaWAN Channel Access - Comparison of Random Access, Slotted, and CSMA

WS 2020/21

• Noah Mehling: Smart City Sensors and Architectures
• Andreea Mihuta: LPWAN and LoRaWAN

SS 2020

• Safa Matti: Usability of Fog and Cloud Architectures in Smart Cities
• Simon Trapp: Quality of Experience Prediction for Live Video Streaming

WS 2019/20

• Lukas Petzi: Analysis of the Scalability of LoRa Networks
• Maximilian Gerhard: Analysis of a Fog Computing Architecture Network for Smart City

SS 2019

• Simon Raffeck: LoRa with CSMA: Performance and Energy Efficiency
• David Raunecker: Machine Learning Approaches for Quality of Experience Prediction in Encrypted HTTP Adaptive Streaming

WS2018/19

• Tobias Knapp: Stalling Detection and Prediction in HTTP Adaptive Streaming
• Lukas Tönsing: Analysing Adaptive Wide Area Streaming

SS2018

• Marvin Ewald: Adaptive Video Streaming from Unmanned aerial vehicles
• Thomas Hadgu: QoE Monitoring for Encrypted Traffic

WS2017/18

• Sebastian Kempf: Internet of Things: From Cloud to Edge Cloud
• Sven Elflein: Energy Management of Nodes in Wireless Sensor Networks

SS2017

• Manuel Wolz: Live Migration of Cloud Services
• Alexander Hartelt: From Smart Home to Smart City: Current Research Topics in the Internet of Things