I am a research assistant and PhD candidate at TU Dresden. My current research focuses on concurrent transmissions in wireless mesh networks using low-power transceivers. I am particularly interested in analyzing the key effects of synchronous transmissions on the physical layer, and based upon that in improving the receiver designs by adapting and extending their topologies.
Besides that, I am interested in the design of communication primitives and protocols as well as embedded hardware/software codesign for wireless cyber-physical systems and the Internet of Things in general. At the theoretical side I have a favour for smart signal processing including statistical signal processing, compressed sensing, and machine learning.
I received a Dipl.-Ing. (BA) degree in Information Technology from the University of Cooperative Education Glauchau (Germany) in 2000 and a Dipl.-Ing. (MSc.) degree in Information Systems Engineering from TU Dresden in 2014. Between 1999 and 2013 I worked as a developer and project manager on several industrial hard- and software products targeting special measurement technology and advanced bus monitoring for the automotive industry. During this time I also contributed to the ASAM GDI and FIBEX standards. After finishing my MSc. studies I have been with the Chairs for Communications Theory and Communication Networks at TU Dresden. Since 2017 I am a member of the NES Lab.
2022
Herrmann, Carsten; Zimmerling, Marco
Demo: Exploring Concurrent Transmissions with RSSISpy and TrafficBench Presentation
03.10.2022.
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Herrmann, Carsten; Zimmerling, Marco
RSSISpy: Inspecting Concurrent Transmissions in the Wild Conference
Proceedings of the 19th International Conference on Embedded Wireless Systems and Networks (EWSN), 2022.
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Mager, Fabian; Baumann, Dominik; Herrmann, Carsten; Trimpe, Sebastian; Zimmerling, Marco
Scaling Beyond Bandwidth Limitations: Wireless Control With Stability Guarantees Under Overload Journal Article
In: ACM Transactions on Cyber-Physical Systems, vol. 6, iss. 3, 2022, ISSN: 2378-962X.
@article{Mager2022,
title = {Scaling Beyond Bandwidth Limitations: Wireless Control With Stability Guarantees Under Overload},
author = {Fabian Mager and Dominik Baumann and Carsten Herrmann and Sebastian Trimpe and Marco Zimmerling},
doi = {10.1145/3502299},
issn = {2378-962X},
year = {2022},
date = {2022-07-01},
urldate = {2022-07-01},
journal = {ACM Transactions on Cyber-Physical Systems},
volume = {6},
issue = {3},
abstract = {An important class of cyber-physical systems relies on multiple agents that jointly perform a task by coordinating their actions over a wireless network. Examples include self-driving cars in intelligent transportation and production robots in smart manufacturing. However, the scalability of existing control-over-wireless solutions is limited as they cannot resolve overload situations in which the communication demand exceeds the available bandwidth. This paper presents a novel co-design of distributed control and wireless communication that overcomes this limitation by dynamically allocating the available bandwidth to agents with the greatest need to communicate. Experiments on a real cyber-physical testbed with 20 agents, each consisting of a low-power wireless embedded device and a cart-pole system, demonstrate that our solution achieves significantly better control performance under overload than the state of the art. We further prove that our co-design guarantees closed-loop stability for physical systems with stochastic linear time-invariant dynamics.},
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An important class of cyber-physical systems relies on multiple agents that jointly perform a task by coordinating their actions over a wireless network. Examples include self-driving cars in intelligent transportation and production robots in smart manufacturing. However, the scalability of existing control-over-wireless solutions is limited as they cannot resolve overload situations in which the communication demand exceeds the available bandwidth. This paper presents a novel co-design of distributed control and wireless communication that overcomes this limitation by dynamically allocating the available bandwidth to agents with the greatest need to communicate. Experiments on a real cyber-physical testbed with 20 agents, each consisting of a low-power wireless embedded device and a cart-pole system, demonstrate that our solution achieves significantly better control performance under overload than the state of the art. We further prove that our co-design guarantees closed-loop stability for physical systems with stochastic linear time-invariant dynamics.
2018
Herrmann, Carsten; Mager, Fabian; Zimmerling, Marco
Mixer: Efficient Many-to-All Broadcast in Dynamic Wireless Mesh Networks Conference
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems (SenSys), 2018.
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Herrmann, Carsten; Lu, Yun; Scheunert, Christian; Jung, Peter
Improving Robustness for Anisotropic Sparse Recovery using Matrix Extensions Conference
22nd International ITG Workshop on Smart Antennas, VDE, 2018.
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2017
Mager, Fabian; Herrmann, Carsten; Zimmerling, Marco
One for All, All for One: Toward Efficient Many-to-Many Broadcast in Dynamic Wireless Networks Inproceedings
In: Proceedings of the 4th ACM Workshop on Hot Topics in Wireless, pp. 19–23, Association for Computing Machinery, Snowbird, Utah, USA, 2017, ISBN: 9781450351409.
@inproceedings{Mager2017,
title = {One for All, All for One: Toward Efficient Many-to-Many Broadcast in Dynamic Wireless Networks},
author = {Fabian Mager and Carsten Herrmann and Marco Zimmerling},
doi = {10.1145/3127882.3127884},
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abstract = {Many applications such as autonomous swarming drones and system services like data replication need to exchange data among many or all nodes in a network. However, wireless many-to-many broadcast has thus far only been studied theoretically or in simulation, and practical solutions hardly meet the requirements of emerging applications, especially in terms of latency. This paper presents Mixer, a communication primitive that provides fast and reliable many-to-many broadcast in dynamic wireless multi-hop networks. Mixer integrates random linear network coding with synchronous transmissions to simultaneously disseminate all messages in the network. To deliver the performance gains our approach enables, we design Mixer's protocol logic in response to the physical-layer characteristics and the theory of network coding. First results from testbed experiments demonstrate that, compared with the state of the art, Mixer is up to 65% faster and reduces radio-on time by up to 50%, while providing a message delivery rate above 99.9%.},
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Many applications such as autonomous swarming drones and system services like data replication need to exchange data among many or all nodes in a network. However, wireless many-to-many broadcast has thus far only been studied theoretically or in simulation, and practical solutions hardly meet the requirements of emerging applications, especially in terms of latency. This paper presents Mixer, a communication primitive that provides fast and reliable many-to-many broadcast in dynamic wireless multi-hop networks. Mixer integrates random linear network coding with synchronous transmissions to simultaneously disseminate all messages in the network. To deliver the performance gains our approach enables, we design Mixer's protocol logic in response to the physical-layer characteristics and the theory of network coding. First results from testbed experiments demonstrate that, compared with the state of the art, Mixer is up to 65% faster and reduces radio-on time by up to 50%, while providing a message delivery rate above 99.9%.
Bereza, Alex; Wetzker, Ulf; Herrmann, Carsten; Boano, Carlo Alberto; Zimmerling, Marco
Demo: Cross-Technology Communication between BLE and Wi-Fi Using Commodity Hardware Presentation
Proceedings of the 2017 International Conference on Embedded Wireless Systems and Networks (EWSN), Uppsala, Sweden, 01.01.2017, ISBN: 9780994988614.
@misc{10.5555/3108009.3108057,
title = {Demo: Cross-Technology Communication between BLE and Wi-Fi Using Commodity Hardware},
author = {Alex Bereza and Ulf Wetzker and Carsten Herrmann and Carlo Alberto Boano and Marco Zimmerling},
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abstract = {In this demonstration, we present a prototype of a cross-technology communication (CTC) system that allows a Bluetooth Low Energy (BLE) device to directly send data to a Wi-Fi device using commodity hardware. Towards this goal, we use energy burst patterns to encode information on overlapping channel frequencies. With this demonstration, we prove the feasibility of our holistic CTC approach for popular wireless technologies in the 2.4 GHz ISM band based on off-the-shelf hardware and open-source software.},
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In this demonstration, we present a prototype of a cross-technology communication (CTC) system that allows a Bluetooth Low Energy (BLE) device to directly send data to a Wi-Fi device using commodity hardware. Towards this goal, we use energy burst patterns to encode information on overlapping channel frequencies. With this demonstration, we prove the feasibility of our holistic CTC approach for popular wireless technologies in the 2.4 GHz ISM band based on off-the-shelf hardware and open-source software.
2016
Mager, Fabian; Neumann, Johannes; Herrmann, Carsten; Zimmerling, Marco; Fitzek, Frank H P
Poster Abstract: All-to-all Communication in Multi-hop Wireless Networks with Mixer Presentation
Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems CD-ROM (SenSys), 01.11.2016, ISBN: 978-1-4503-4263-6.
@misc{Mager2016AlltoallCI,
title = {Poster Abstract: All-to-all Communication in Multi-hop Wireless Networks with Mixer},
author = {Fabian Mager and Johannes Neumann and Carsten Herrmann and Marco Zimmerling and Frank H P Fitzek},
doi = {https://doi.org/10.1145/2994551.2996706},
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abstract = {Cyber-physical systems (CPS) use distributed feedback loops to control physical processes. Designing practical distributed CPS controllers often benefits from a logically centralized approach, where each node computes the control law locally based on global knowledge of the system state. We present Mixer, an all-to-all communication scheme that enables all nodes in a multi-hop low-power wireless network to exchange sizable packets with one another. Mixer's design integrates synchronous transmissions with random linear network coding, harnessing the broadcast nature of the wireless medium. Results from testbed experiments with an early Mixer prototype show that our design reduces latency by 1.1-2.6× for 16-96-byte packets compared with the state of the art, while providing a reliability above 99.9% in most settings we test.},
howpublished = {Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems CD-ROM (SenSys)},
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Cyber-physical systems (CPS) use distributed feedback loops to control physical processes. Designing practical distributed CPS controllers often benefits from a logically centralized approach, where each node computes the control law locally based on global knowledge of the system state. We present Mixer, an all-to-all communication scheme that enables all nodes in a multi-hop low-power wireless network to exchange sizable packets with one another. Mixer's design integrates synchronous transmissions with random linear network coding, harnessing the broadcast nature of the wireless medium. Results from testbed experiments with an early Mixer prototype show that our design reduces latency by 1.1-2.6× for 16-96-byte packets compared with the state of the art, while providing a reliability above 99.9% in most settings we test.
