Towards Simulating the Internet of Things

Sotiriadis, Stelios; Bessis, Nik; Asimakopoulou, Eleana; Mustafee, Navonil

doi:10.1109/waina.2014.74

Cited by 69 publications

(49 citation statements)

References 14 publications

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“…Its aim is to support the OASIS standard Devices Profile for Web Services (DPWS) that enables the use of web services on smart and resource-constrained devices. SimIoT [13] is derived from the SimIC simulation framework [12], which provides a deeper insight into the behavior of IoT systems, and introduces several techniques that simulates the communication between an IoT sensor and the cloud, but it is limited by its compute oriented activity modeling.…”

Section: Related Workmentioning

confidence: 99%

Efficient Simulation of IoT Cloud Use Cases

Márkus

Marques

Kecskeméti

et al. 2018

Lecture Notes in Computer Science

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Abstract. In the paradigm of Internet of Things (IoT), sensors, actuators and smart devices are connected to the Internet. Application providers utilize the connectivity of these devices with novel approaches involving cloud computing. Some applications require in depth analysis of the interaction between IoT devices and clouds. Research in this area is facing questions like how we should govern such large cohort of devices, which may easily go up often to tens of thousands. In this chapter we investigate IoT Cloud use cases, and derive a general IoT use case. Distributed systems simulators could help in such analysis, but they are problematic to apply in this newly emerging domain, since most of them are either too detailed, or not extensible enough to support the to be modelled devices. Therefore we also show how generic IoT sensors could be modelled in a state of the art simulator using our generalized case to exemplify how the fundamental properties of IoT entities can be represented in the simulator. Finally, we validate the applicability of the introduced IoT extension with a fitness and a meteorological use case.

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Section: Related Workmentioning

confidence: 99%

Efficient Simulation of IoT Cloud Use Cases

Márkus

Marques

Kecskeméti

et al. 2018

Lecture Notes in Computer Science

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“…SimIoT exploits cloud environments for back-end operations [46]. The use case proposed in the paper is a health monitoring system for emergency situations in which short range and wireless communication devices are used to monitor the health of patients.…”

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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“…In contrast, the our simulation concepts put more emphasis on how sensors actuators and smart objects on the edges of clouds would interface with each other and with the cloud systems. [7] introduces SimIoT, which is derived from the SimIC simulation framework [8]. SimIoT provides a deeper insight into the behavior of IoT systems, but still restrains itself to the basic sensor-data processing scenario.…”

Section: Related Workmentioning

confidence: 99%

Foundations for Simulating IoT Control Mechanisms with a Chemical Analogy

Kecskeméti

Németh

2016

Internet of Things. IoT Infrastructures

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Abstract. The emergence of IoT systems introduced new kind of challenges for the designers of such large scale highly distributed systems. The sheer number of participating devices raises a crucial question: how they can be coordinated. Engineers often opt for using a simulator to evaluate new approaches or scenarios in various environments. This raises the second crucial question: how such a large system can be simulated efficiently. Existing simulators (even if they are IoT focused) are often focused on some particular scenarios and not capable to evaluate coordination approaches. In this paper we propose a chemical coordination model and a new extension to the DISSECT-CF cloud simulator. We expect that their combination on one hand ensures a distributed adaptive coordination on the other hand allows the separation of simulation problems into manageable sizes; these enable the analysis of large scale IoT systems with decentralized coordination approaches.

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Towards Simulating the Internet of Things

Cited by 69 publications

References 14 publications

Efficient Simulation of IoT Cloud Use Cases

Efficient Simulation of IoT Cloud Use Cases

Multi-level simulation of Internet of Things on smart territories

Foundations for Simulating IoT Control Mechanisms with a Chemical Analogy

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