Core topic Analysis of distributed IoT systems
Increasing complexity of distributed systems with minimal energy consumption required
In the Internet of Things, sensor data and information are collected and processed. The necessary system components are being used more and more widely thanks to diverse sensor technology and the goal of automated analyses, causing data volumes to increase exponentially. Thus, processing the data no longer is only practical at central points such as in the cloud, because bandwidth and real-time requirements can increasingly not be met.
Distributed processing, however, further increases the complexity of the systems. At the same time, it is becoming more important to minimise the overall energy consumption of the systems in terms of sustainability. To deal with this, it is necessary to design functions flexibly so that they are only executed when needed and are not firmly defined in advance.
Research on flexible and robust IoT components
For such complex distributed IoT systems, we are working on modelling networks and nodes for system-wide analysis of functionality and associated energy consumption. We are investigating how intelligence can be established in the network, how tasks can be solved flexibly and autonomously and how individual functions can be made portable and robust.
Contact
Contact
Dr.-Ing. Tino Hutschenreuther
Head of System Design
tino.hutschenreuther(at)imms.de+49 (0) 3677 874 93 40
Dr. Tino Hutschenreuther will answer your questions on our research in Smart distributed measurement and test systems and the related core topics Analysis of distributed IoT systems, Embedded AI and Real-time data processing and communications, on the lead applications Adaptive edge AI systems for industrial application and IoT systems for cooperative environmental monitoring as well as on the range of services for the development of embedded systems.
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In thurAI, IMMS is working on sensor technology for SmartCity and methods to intelligently process data in the network for AI evaluations.
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Reference
Dirk-Hendrik John, Software-Service John GmbH
“From our point of view, the design IMMS came up with for the architecture was in itself convincing. Further, we were impressed by its support in integrating our application with the MQTT standard. Both during the ongoing joint field test in Jena and during the entire project period, IMMS staff were always readily available with prompt support if questions or problems arose.”
Reference
Dr. Katja Nicolai, IL Metronic
“From my point of view, the numerous outcomes, many of them already validated by demonstrators, speak for themselves. These wireless solutions with their energy self-sufficiency are blazing the trail for quick, cheap and easy retrofitting. I envisage their use not only in manufacturing processes but in other areas such as transport and logistics.”
Echtzeitanalyse und Prognose des Wasserhaushalts im Weinbau
Hannes Mollenhauer1. Martin Schieck2. Silvia Krug3. Valentin Knitsch4.IM+io, Fachmagazin, März 2022, Heft 01, ISSN 1616-1017, Seite 32 - 35
1Helmholtz-Zentrum für Umweltforschung GmbH - UFZ, Department Monitoring- und Erkundungstechnologien, 04318 Leipzig, Germany. 2Universität Leipzig, Institut für Wirtschaftsinformatik, 04109 Leipzig, Germany. 3IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH, 98693 Ilmenau, Germany. 4Fraunhofer Zentrum für Internationales Management und Wissensökonomie IMW, 04109 Leipzig, Germany.Optimierung der Bewässerung im Obstbau durch Sensorikeinsatz
Martin Penzel1. Silvia Krug2.Regionalkonferenz EXPRESS, 22. - 23. September 2021, Weingut Schloss Proschwitz, Meißen
1Lehr- und Versuchszentrum Gartenbau Erfurt, Germany. 2IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH, 98693 Ilmenau, Germany.Comparing BLE and NB-IoT as Communication Options for Smart Viticulture IoT Applications
Silvia Krug1,2. Sebastian Miethe1. Tino Hutschenreuther1.2021 IEEE Sensors Applications Symposium (SAS), SOI: doi.org/10.1109/SAS51076.2021.9530069, 23 - 25 August 2021, virtual conference
1IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH, 98693 Ilmenau, Germany. 2Mid Sweden University Sundsvall, Sweden.Impact of Input Data on Intelligence Partitioning Decisions for IoT Smart Camera Nodes
Isaac Sánchez Leal1. Irida Shallari1. Silvia Krug1,2. Axel Jantsch1,3. Mattias O’Nils1.Electronics 2021, 10, 1898. DOI: doi.org/10.3390/electronics10161898
1Department of Electronics Design, Mid Sweden University, Holmgatan 10, 851 70 Sundsvall, Sweden. 2IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH, 98693 Ilmenau, Germany. 3Institute of Computer Technology, TU Wien (Vienna University of Technology), Gusshausstrasse 27-29/384, 1040 Vienna, Austria.
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