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.
Related content
Project
EdgeCam
In EdgeCam, IMMS provides the smart communications between cameras of a virtual safety zone for truck cranes.
Project
thurAI
In thurAI, IMMS is working on sensor technology for SmartCity and methods to intelligently process data in the network for AI evaluations.
Project
SensoMem
IMMS is developing a compact wireless sensor system for online monitoring of ongoing biochemical reactions in laboratories
Project
EXPRESS
IMMS is working on autonomous modular sensor systems for cost-effective options for data collection in agriculture.
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.”
An IoT-based Sensor System to Capture Flower Bud Growth in Spring
Silvia Krug1. Tino Hutschenreuther1.19. GI/ITG KuVS Fachgespräch Sensornetze (FGSN 2022), pp. 37-40, DOI: doi.org/10.34702/mncp-qb18. 15. September 2022, Berlin, Germany
1IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH, 98693 Ilmenau, Germany. 2Mid Sweden University Sundsvall, Sweden.Wissenstransfer im Forschungsprojekt EXPRESS
Valentin Knitsch1. Rikard Grass2. Hannes Mollenhauer2. Silvia Krug3. Tino Hutschereuther3. Juliane Welz1.B&B Agrar, Die Zeitschrift für Bildung und Beratung, 2/2022, S. 22–23, DOI: doi.org/10.24406/publica-189
1Fraunhofer-Zentrum für Internationales Management und Wissensökonomie IMW, Leipzig, Germany. 2Helmholtz-Zentrum für Umweltforschung GmbH – UFZ, Leipzig, Germany. 3IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH, 98693 Ilmenau, Germany.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.
This might also be interesting for you
Service for R&D
Development of embedded systems
We develop embedded systems for you as complete solutions consisting of sensors and actuators, signal processing and communications technology as well as open-loop and closed-loop controls.
Lead application
IoT systems for cooperative environmental monitoring
We are researching energy-efficient solutions for IoT systems to open up new applications for cooperative environmental monitoring, such as in agriculture.
Lead application
RFID sensor technology
We are researching energy-efficient solutions for RFID sensor technology in order to open up new applications and, for example, to make processes in industry more resource-efficient.
Research field
Smart distributed measurement and test systems
Integrated sensor ICs are the heart of sensor and measurement systems like wireless sensors, stationary or handheld devices. We are researching solutions for ever more powerful sensors with more intrinsic intelligence and task allocation in the network.