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Chair of Computer Science III


Telefon (0931) 31-88229
Telefax (0931) 31-86632
E-Mail frank.loh@informatik.uni-wuerzburg.de



Lehrstuhl für Informatik III
Am Hubland
D-97074 Würzburg


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


Supervised Theses


  • 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


  • 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


  • 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


  • 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


  • 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



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


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


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


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


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