activity
20042022
most citedArtificial Neural Networks for Sensor Data Classification on Small Embedded Systems

12 citations · 12 across the 7 of their papers we have counts for

collaborators

14 papers

cs.DC2022

Move Complexity of a Self-Stabilizing Algorithm for Maximal Independent Sets

Volker Turau

is a self-stabilizing algorithm that computes a maximal independent set in a finite graph with approximation ratio . In this note we show that und…

cs.DM2022

Fixed Points and 2-Cycles of Synchronous Dynamic Coloring Processes on Trees

Volker Turau

This paper considers synchronous discrete-time dynamical systems on graphs based on the threshold model. It is well known that after a finite number of rounds these systems either…

cs.NI2021

Are Group Acknowledgements Worth Anything in IEEE 802.15.4 DSME: A Comparative Analysis

Florian Meyer, Phil Malessa, Jan Niklas Diercks +1

For data collection scenarios in the Industrial Internet of Things, wireless communication provides a cost-effective and easy-to-deploy alternative to wired networks. The main focu…

cs.NI2021

QMA: A Resource-efficient, Q-Learning-based Multiple Access Scheme for the IIoT

Florian Meyer, Volker Turau

Contention-based wireless channel access methods like CSMA and ALOHA paved the way for the rise of the Internet of Things in industrial applications (IIoT). However, to cope with i…

cs.LG202012 cited

Artificial Neural Networks for Sensor Data Classification on Small Embedded Systems

Marcus Venzke, Daniel Klisch, Philipp Kubik +3

In this paper we investigate the usage of machine learning for interpreting measured sensor values in sensor modules. In particular we analyze the potential of artificial neural ne…

cs.DC2020

Synchronous Concurrent Broadcasts for Intermittent Channels with Bounded Capacities

Volker Turau

In this work we extend the recently proposed synchronous broadcast algorithm amnesiac flooding to the case of intermittent communication channels. In amnesiac flooding a node forwa…