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2019 | OriginalPaper | Buchkapitel

Challenges of Modeling and Simulating Internet of Things Systems

verfasst von : Stig Bosmans, Siegfried Mercelis, Joachim Denil, Peter Hellinckx

Erschienen in: Advances on P2P, Parallel, Grid, Cloud and Internet Computing

Verlag: Springer International Publishing

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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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Literatur
1.
Zurück zum Zitat Abar, S., Theodoropoulos, G.K., Lemarinier, P., OHare, G.M.P.: Agent based modelling and simulation tools: a review of the state-of-art software. Comput. Sci. Rev. 24, 13–33 (2017)CrossRef Abar, S., Theodoropoulos, G.K., Lemarinier, P., OHare, G.M.P.: Agent based modelling and simulation tools: a review of the state-of-art software. Comput. Sci. Rev. 24, 13–33 (2017)CrossRef
2.
Zurück zum Zitat Batool, K., Niazi, M.A.: Modeling the internet of things: a hybrid modeling approach using complex networks and agent-based models. CASM 5(1), 4 (2017) Batool, K., Niazi, M.A.: Modeling the internet of things: a hybrid modeling approach using complex networks and agent-based models. CASM 5(1), 4 (2017)
3.
Zurück zum Zitat Beckmann, N., Kriegel, H.-P., Schneider, R., Seeger, B.: The r*-tree: an efficient and robust access method for points and rectangles. In: Acm Sigmod Record, vol. 19, pp. 322–331. Acm (1990) Beckmann, N., Kriegel, H.-P., Schneider, R., Seeger, B.: The r*-tree: an efficient and robust access method for points and rectangles. In: Acm Sigmod Record, vol. 19, pp. 322–331. Acm (1990)
4.
Zurück zum Zitat Szabo, C., Falkner, K., Birdsey, L.: Large-scale complex adaptive systems using multi-agent modeling and simulation. In: 16th AMAAS Conference, pp. 1478–1480 (2017) Szabo, C., Falkner, K., Birdsey, L.: Large-scale complex adaptive systems using multi-agent modeling and simulation. In: 16th AMAAS Conference, pp. 1478–1480 (2017)
5.
Zurück zum Zitat Bosmans, S., Mercelis, S., Denil, J., Hellinckx, P.: Testing iot systems using a hybrid simulation based testing approach. Computing, pp. 1–16 (2018) Bosmans, S., Mercelis, S., Denil, J., Hellinckx, P.: Testing iot systems using a hybrid simulation based testing approach. Computing, pp. 1–16 (2018)
6.
Zurück zum Zitat Bosmans, S., Mercelis, S., Hellinckx, P., Denil, J.: Towards evaluating emergent behavior of the internet of things using large scale simulation techniques (wip). In: Proceedings of the Theory of Modeling and Simulation Symposium, p. 4. SCS (2018) Bosmans, S., Mercelis, S., Hellinckx, P., Denil, J.: Towards evaluating emergent behavior of the internet of things using large scale simulation techniques (wip). In: Proceedings of the Theory of Modeling and Simulation Symposium, p. 4. SCS (2018)
7.
Zurück zum Zitat Carneiro, G.: Ns-3: network simulator 3. In: UTM Lab Meeting April, vol. 20 (2010) Carneiro, G.: Ns-3: network simulator 3. In: UTM Lab Meeting April, vol. 20 (2010)
8.
Zurück zum Zitat Chan, S.: Complex adaptive systems. In: ESD. 83 Research Seminar In Engineering Systems, vol. 31, pp. 1 (2001) Chan, S.: Complex adaptive systems. In: ESD. 83 Research Seminar In Engineering Systems, vol. 31, pp. 1 (2001)
9.
Zurück zum Zitat DAngelo, G., Ferretti, S., Ghini, V.: Multi-level simulation of internet of things on smart territories. Simul. Model. Pract. Theory 73, 3–21 (2017) DAngelo, G., Ferretti, S., Ghini, V.: Multi-level simulation of internet of things on smart territories. Simul. Model. Pract. Theory 73, 3–21 (2017)
10.
Zurück zum Zitat Fortino, G., Gravina, R., Russo, W., Savaglio, C.: Modeling and simulating iot systems: a hybrid agent-oriented approach. Comput. Sci. Eng. 19(5), 68–76 (2017)CrossRef Fortino, G., Gravina, R., Russo, W., Savaglio, C.: Modeling and simulating iot systems: a hybrid agent-oriented approach. Comput. Sci. Eng. 19(5), 68–76 (2017)CrossRef
11.
Zurück zum Zitat Fujimoto, R.M.: Parallel simulation: distributed simulation systems. In: 35th Proceedings on Winter Simulation Conference, pp. 124–134. Winter Simulation Conference (2003) Fujimoto, R.M.: Parallel simulation: distributed simulation systems. In: 35th Proceedings on Winter Simulation Conference, pp. 124–134. Winter Simulation Conference (2003)
12.
Zurück zum Zitat Haklay, M., Weber, P.: Openstreetmap: user-generated street maps. Ieee Pervas Comput. 7(4), 12–18 (2008)CrossRef Haklay, M., Weber, P.: Openstreetmap: user-generated street maps. Ieee Pervas Comput. 7(4), 12–18 (2008)CrossRef
13.
Zurück zum Zitat Karnouskos, S., Holanda, T.N.D.: Simulation of a smart grid city with software agents. EMS 9, 424–429 (2009) Karnouskos, S., Holanda, T.N.D.: Simulation of a smart grid city with software agents. EMS 9, 424–429 (2009)
14.
Zurück zum Zitat Kavak, H., Padilla, J.J., Lynch, C.J., Diallo, S.Y.: Big data, agents, and machine learning: towards a data-driven agent-based modeling approach. In: Proceedings of the Annual Simulation Symposium, p. 12. Society for Computer Simulation International (2018) Kavak, H., Padilla, J.J., Lynch, C.J., Diallo, S.Y.: Big data, agents, and machine learning: towards a data-driven agent-based modeling approach. In: Proceedings of the Annual Simulation Symposium, p. 12. Society for Computer Simulation International (2018)
15.
Zurück zum Zitat Laghari, S., Niazi, M.A.: Modeling the internet of things, self-organizing and other complex adaptive communication networks: a cognitive agent-based computing approach. PloS one 11(1), e0146760 (2016)CrossRef Laghari, S., Niazi, M.A.: Modeling the internet of things, self-organizing and other complex adaptive communication networks: a cognitive agent-based computing approach. PloS one 11(1), e0146760 (2016)CrossRef
16.
Zurück zum Zitat Lom, M., Přibyl, O.: Modeling of smart city building blocks using multi-agent systems. Neural Netw. World 27(4), 317 (2017)CrossRef Lom, M., Přibyl, O.: Modeling of smart city building blocks using multi-agent systems. Neural Netw. World 27(4), 317 (2017)CrossRef
17.
Zurück zum Zitat Macal, C.M., North, M.J.: Tutorial on agent-based modelling and simulation. J. Simul. 4(3), 151–162 (2010)CrossRef Macal, C.M., North, M.J.: Tutorial on agent-based modelling and simulation. J. Simul. 4(3), 151–162 (2010)CrossRef
18.
Zurück zum Zitat Masad, D., Kazil, J.: Mesa: an agent-based modeling framework. In: Proceedings of the 14th Python in Science Conference (SCIPY 2015), pp. 53–60 (2015) Masad, D., Kazil, J.: Mesa: an agent-based modeling framework. In: Proceedings of the 14th Python in Science Conference (SCIPY 2015), pp. 53–60 (2015)
19.
Zurück zum Zitat Mehdi, K., Lounis, M., Bounceur, A., Kechadi, T.: Cupcarbon: a multi-agent and discrete event wireless sensor network design and simulation tool. In: 7th International ICST Conference, pp. 126–131. ICST (2014) Mehdi, K., Lounis, M., Bounceur, A., Kechadi, T.: Cupcarbon: a multi-agent and discrete event wireless sensor network design and simulation tool. In: 7th International ICST Conference, pp. 126–131. ICST (2014)
20.
Zurück zum Zitat Nunes, D.S., Zhang, P., Sá Silva, J.: A survey on human-in-the-loop applications towards an internet of all. IEEE Commun. Surv. Tutor. 17(2), 944–965 Nunes, D.S., Zhang, P., Sá Silva, J.: A survey on human-in-the-loop applications towards an internet of all. IEEE Commun. Surv. Tutor. 17(2), 944–965
21.
Zurück zum Zitat Rao, A.S.: Agentspeak (l): Bdi agents speak out in a logical computable language. In: European Workshop on Modelling Autonomous Agents in a Multi-Agent World, pp. 42–55. Springer (1996) Rao, A.S.: Agentspeak (l): Bdi agents speak out in a logical computable language. In: European Workshop on Modelling Autonomous Agents in a Multi-Agent World, pp. 42–55. Springer (1996)
22.
Zurück zum Zitat Varga, A., Hornig, R.: An overview of the omnet++ simulation environment. In: Proceedings of the 1st International Conference on Simulation Tools and Techniques for Communications, Networks and Systems & Workshops, p. 60. ICST (2008) Varga, A., Hornig, R.: An overview of the omnet++ simulation environment. In: Proceedings of the 1st International Conference on Simulation Tools and Techniques for Communications, Networks and Systems & Workshops, p. 60. ICST (2008)
23.
Zurück zum Zitat Wehner, P., Göhringer, D.: Internet of things simulation using omnet++ and hardware in the loop. In: Components and Services for IoT Platforms, pp. 77–87. Springer (2017) Wehner, P., Göhringer, D.: Internet of things simulation using omnet++ and hardware in the loop. In: Components and Services for IoT Platforms, pp. 77–87. Springer (2017)
24.
Zurück zum Zitat Yu, H., Shen, Z., Leung, C.: From internet of things to internet of agents. In: Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing, pp. 1054–1057. IEEE (2013) Yu, H., Shen, Z., Leung, C.: From internet of things to internet of agents. In: Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing, pp. 1054–1057. IEEE (2013)
Metadaten
Titel
Challenges of Modeling and Simulating Internet of Things Systems
verfasst von
Stig Bosmans
Siegfried Mercelis
Joachim Denil
Peter Hellinckx
Copyright-Jahr
2019
DOI
https://doi.org/10.1007/978-3-030-02607-3_42

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