Abstract
With the rise of complex Internet of Things systems we see an increasing need for testing and evaluating these systems. Especially, when we expect emergent complex adaptive behavior to arise. Agent based simulation is an often used technique to do this. However, the effectiveness of a simulation depends on the quality of individual models. In this work we look in depth what the characteristics are of Internet of Things devices, actors and environments. We look at how these characteristics can be used to find appropriate, performance optimized modeling techniques and formalisms. During the course of this work we will extensively refer to a custom-developed Internet of Things simulation framework and to relevant related literature.
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Bosmans, S., Mercelis, S., Denil, J., Hellinckx, P. (2019). Challenges of Modeling and Simulating Internet of Things Systems. In: Xhafa, F., Leu, FY., Ficco, M., Yang, CT. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 24. Springer, Cham. https://doi.org/10.1007/978-3-030-02607-3_42
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