Towards Model-Driven Simulation of the Internet of Things

Brumbulli, Mihal; Gaudin, Emmanuel

doi:10.1007/978-3-319-29643-2_2

Cited by 13 publications

(5 citation statements)

References 22 publications

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“…Mainetti et al showed that the current trend is to use the Internet Protocol to achieve native connectivity between WSNs and the Internet. This trend is also confirmed by the ZigBee Alliance and its choice of Internet Protocol for the Smart Energy 2.0 Profile . In this context, we simulate a smart distributed sensor network on the basis of IEEE 802.15.4, which is a typical example of an IoT network.…”

Section: Simulation Resultsmentioning

confidence: 71%

“…In this section, we validate the analytical study by simulation and we evaluate the performance of the improved CGK and compare it to TGDH and ETKMSSC using TOSSIM2 simulator. Brumbulli et al showed that TOSSIM is one of the specialized simulators provided by IoT operating systems as part of their development environment . It is possible to integrate our proposal in real static networks for healthcare, agriculture, industry, markets, schools, and smart home applications.…”

Section: Simulation Resultsmentioning

confidence: 99%

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A collaborative key management scheme for distributed smart objects

Hendaoui

Eltaief

Youssef

2017

Trans Emerging Tel Tech

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Secure communication of Internet of Things (IoT) devices relies on cryptographic approaches whose robustness is based on the security of encryption keys. For instance, an adequate key management scheme must be used to properly manage the used keys. Designing an efficient and robust key management scheme for the connected devices is a challenging task. Reported key management schemes suffer from several deficiencies such as the single point of failure and the non–trade‐off between scalability, connectivity, and resiliency. This paper first reviews key management schemes in the context of the IoT. Then, we propose a collaborative lightweight key management scheme that secures the keys during the life cycle of the embedded devices. Our proposal relies on the collaboration of the smart devices, where all the devices participate in the construction of the global key. Following the analytical and the comparative studies, we show that our proposal can be integrated in several communication protocols designated for embedded devices such as IEEE 802.15.4. Simulation results validate the analytical study and show that the proposed collaborative group key scheme exhibits superior performance when compared with two corresponding schemes reported in the literature.

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Section: Simulation Resultsmentioning

confidence: 71%

Section: Simulation Resultsmentioning

confidence: 99%

A collaborative key management scheme for distributed smart objects

Hendaoui

Eltaief

Youssef

2017

Trans Emerging Tel Tech

View full text Add to dashboard Cite

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“…Results show that the proposed simulation framework is able to transparently adapt to the execution system and model characteristics, by dynamically reducing communication overhead, thus reducing simulation time and increasing simulation scalability. In [9], authors suggest a model-driven simulation (based on the standard language SDL) to describe an IoT scenario. Starting from this, an automatic code generation transforms the description into an executable simulation model for the ns-3 network simulator.…”

Section: Related Workmentioning

confidence: 99%

On the Realistic Radio and Network Planning of IoT Sensor Networks

Kanaris

Sergiou

Kokkinis

et al. 2019

Sensors

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Planning and deploying a functional large scale Wireless Sensor Network (WSN) or a Network of Internet of Things (IoTs) is a challenging task, especially in complex urban environments. A main network design bottleneck is the existence and/or correct usage of appropriate cross layer simulators that can generate realistic results for the scenario of interest. Existing network simulators tend to overlook the complexity of the physical radio propagation layer and consequently do not realistically simulate the main radio propagation conditions that take place in urban or suburban environments, thus passing inaccurate results between Open Systems Interconnection (OSI) layers. This work demonstrates through simulations and measurements that, by correctly passing physical information to higher layers, the overall simulation process produces more accurate results at the network layer. It is demonstrated that the resulting simulation methodology can be utilized to accomplish realistic wireless planning and performance analysis of the deployed nodes, with results that are very close to those of real test-beds, or actual WSN deployments.

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“…Monte Carlo methods are employed in [42]. Model-driven simulation (based on the standard language SDL) is used to describe an IoT scenario [43]. Then, an automatic code generation transforms the description into an executable simulation model for the ns-3 network simulator.…”

Section: Simulation Of the Internet Of Thingsmentioning

confidence: 99%

Multi-level simulation of Internet of Things on smart territories

D’Angelo

Ferretti

Ghini

2017

Simulation Modelling Practice and Theory

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In this paper, a methodology is presented and employed for simulating the Internet of Things (IoT). The requirement for scalability, due to the possibly huge amount of involved sensors and devices, and the heterogeneous scenarios that might occur, impose resorting to sophisticated modeling and simulation techniques. In particular, multi-level simulation is regarded as a main framework that allows simulating large-scale IoT environments while keeping high levels of detail, when it is needed. We consider a use case based on the deployment of smart services in decentralized territories. A two level simulator is employed, which is based on a coarse agent-based, adaptive parallel and distributed simulation approach to model the general life of simulated entities. However, when needed a finer grained simulator (based on OMNeT++) is triggered on a restricted portion of the simulated area, which allows considering all issues concerned with wireless communications. Based on this use case, it is confirmed that the ad-hoc wireless networking technologies do represent a principle tool to deploy smart services over decentralized countrysides. Moreover, the performance evaluation confirms the viability of utilizing multi-level simulation for simulating large scale IoT environments.Keywords: Simulation, Smart cities, Internet of Things, Multi-level Simulation, Parallel And Distributed Simulation (PADS) 0 Some parts of the research work described in this paper previously appeared in [1,2,3]. This paper is an extensively revised and extended version of the previous work in which more than 30% is new material. Please note that, some parts of the performance evaluation appeared in the extended version of [2] that is available in https://arxiv.org/abs/1604.07076 but not included in the official conference proceedings.

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Towards Model-Driven Simulation of the Internet of Things

Cited by 13 publications

References 22 publications

A collaborative key management scheme for distributed smart objects

A collaborative key management scheme for distributed smart objects

On the Realistic Radio and Network Planning of IoT Sensor Networks

Multi-level simulation of Internet of Things on smart territories

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