Hardware-in-the-Loop Simulation for a Dynamic Co-Simulation of Internet-of-Things-Components

Jung, Tobias; Jazdi, Nasser; Krauß, Stefan; Köllner, Christian; Weyrich, Michael

doi:10.1016/j.procir.2020.03.073

Cited by 7 publications

(1 citation statement)

References 14 publications

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“…However, in this work only a single simulation tool is addressed, whereas Marvis is a generalized framework. A different approach, using a HIL simulator based on a multi-agent system, allows simulated and real components to join and leave the simulation at runtime to enable the co-simulation of dynamic IoT environments [13]. Nevertheless, this system has limited real-time and synchronization capabilities and a distributed execution of emulators and simulators is not considered, which significantly restricts scalability.…”

Section: Related Workmentioning

confidence: 99%

Towards a Staging Environment for the Internet of Things

Beilharz

Wiesner

Boockmeyer

et al. 2021

2021 IEEE International Conference on Pervasive Computing and Communications Workshops and Other Affiliated Events (PerCom Work

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Internet of Things (IoT) applications promise to make many aspects of our lives more efficient and adaptive through the use of distributed sensing and computing nodes. A central aspect of such applications is their complex communication behavior that is heavily influenced by the physical environment of the system. To continuously improve IoT applications, a staging environment is needed that can provide operating conditions representative of deployments in the actual production environments -similar to what is common practice in cloud application development today. Towards such a staging environment, we present Marvis, a framework that orchestrates hybrid testbeds, co-simulated domain environments, and a central network simulation for testing distributed IoT applications. Our preliminary results include an open source prototype and a demonstration of a Vehicle-to-everything (V2X) communication scenario.

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Section: Related Workmentioning

confidence: 99%