A Simulation Platform for Large-Scale Internet of Things Scenarios in Urban Environments

Brambilla, Giacomo; Picone, Marco; Cirani, Simone; Amoretti, Michele; Zanichelli, Francesco

doi:10.4108/icst.urb-iot.2014.257268

Cited by 65 publications

(40 citation statements)

References 12 publications

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“…Gluhak et al [20] reviews existing frameworks with their limitations and concluded that the existing test-bed simulators are ineffective due to the high diversity of IoT devices and associated challenges. Brambilla et al [21] propose a framework based on DEUS, a discrete event simulator to study large-scale IoT networks. The simulator is developed in Java and benchmarked in an urban IoT environment.…”

Section: Related Workmentioning

confidence: 99%

Toward Distributed Heterogeneous Simulation Using Internet of Things

Haseeb

Malik

Rahman

et al. 2019

IEEE Internet Things J.

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Section: Related Workmentioning

confidence: 99%

Toward Distributed Heterogeneous Simulation Using Internet of Things

Haseeb

Malik

Rahman

et al. 2019

IEEE Internet Things J.

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“…Going back to discrete event simulation approaches, in [5] the authors propose to integrate the DEUS generalpurpose discrete event simulation with the domain specific simulators Cooja and ns-3 for implementing large-scale IoT simulations. This solution allows offering a good scalability.…”

Section: Related Workmentioning

confidence: 99%

The quest for scalability and accuracy: Multi-level simulation of the Internet of Things

Ferretti¹,

D’Angelo²,

Ghini³

et al. 2017

2017 IEEE/ACM 21st International Symposium on Distributed Simulation and Real Time Applications (DS-RT)

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This paper presents a methodology for simulating the Internet of Things (IoT) using multi-level simulation models. With respect to conventional simulators, this approach allows us to tune the level of detail of different parts of the model without compromising the scalability of the simulation. As a use case, we have developed a two-level simulator to study the deployment of smart services over rural territories. The higher level is base on a coarse grained, agent-based adaptive parallel and distributed simulator. When needed, this simulator spawns OMNeT++ model instances to evaluate in more detail the issues concerned with wireless communications in restricted areas of the simulated world. The performance evaluation confirms the viability of multi-level simulations for IoT environments.

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“…Brambilla et al propose to integrate the DEUS generalpurpose discrete event simulation with the domain specific simulators Cooja and ns-3 for the study of large-scale IoT scenarios in urban environments [10]. In this case, the performance evaluation is based on 6 scenarios with up to 200000 sensors, 400 hubs and 25000 vehicles.…”

Section: A Simulation Of the Internet Of Thingsmentioning

confidence: 99%

Simulation of the Internet of Things

D’Angelo

Ferretti

Ghini

2016

2016 International Conference on High Performance Computing &Amp; Simulation (HPCS)

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This paper presents main concepts and issues concerned with the simulation of Internet of Things (IoT). The heterogeneity of possible scenarios, arising from the massive deployment of an enormous amount of sensors and devices, imposes the use of sophisticated modeling and simulation techniques. In fact, the simulation of IoT introduces several issues from both quantitative and qualitative aspects. We discuss novel simulation techniques to enhance scalability and to permit the real-time execution of massively populated IoT environments (e.g., large-scale smart cities). In particular, we claim that agent-based, adaptive Parallel and Distributed Simulation (PADS) approaches are needed, together with multi-level simulation, which provide means to perform highly detailed simulations, on demand. We present a use case concerned with the simulation of smart territories.Comment: Proceedings of the IEEE 2016 International Conference on High Performance Computing and Simulation (HPCS 2016

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A Simulation Platform for Large-Scale Internet of Things Scenarios in Urban Environments

Cited by 65 publications

References 12 publications

Toward Distributed Heterogeneous Simulation Using Internet of Things

Toward Distributed Heterogeneous Simulation Using Internet of Things

The quest for scalability and accuracy: Multi-level simulation of the Internet of Things

Simulation of the Internet of Things

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