CupCarbon-Lab: An IoT emulator

Bounceur, Ahcène; Marc, Olivier; Lounis, Massinissa; Soler, Julien; Clavier, Laurent; Combeau, Pierre; Vauzelle, Rodolphe; Lagadec, Loïc; Euler, Reinhardt; Bezoui, Madani; Manzoni, Pietro

doi:10.1109/ccnc.2018.8319313

Cited by 22 publications

(6 citation statements)

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“…Our research aimed to study the effectiveness of WSN IoT network interlinked through the cloud infrastructure. For this we simulated our network on cupcake IoT simulator 5.0 -2021 (Bounceur et al, 2018). The simulator is able to integrate IoTNode as well as IoTRNode together thus making it possible for them to communicate using MQTT Protocol.…”

Section: Methodsmentioning

confidence: 99%

Untitled

2022

·C TIC

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Technology in the educational field has provided teachers with digital tools to develop different types of educational resources and materials. This allows them to use, improve and combine other teaching materials to design new digital didactic materials (MDD) that promote "the circular economy of didactic materials". This paper exposes the design and development process under this approach of a digital tutorial with genially software in a subject of Mathematics in the Degree in Business Administration and Management. Its use is proposed in the context of the Flipped Classroom model to promote autonomous student learning. We analyze different data about the use of the tutorial and the perception of the students about its design and usefulness. The assessment is positive highlighting its usefulness for learning its content.

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Section: Methodsmentioning

confidence: 99%

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2022

·C TIC

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“…A different approach to the previous simulators is CupCarbon [159], [160], [161]. The simulator focuses on simulating WSNs in the context of smart cities, supporting 3 of the most widely used technologies: ZigBee, LoRa and WiFi networking.…”

Section: Cupcarbonmentioning

confidence: 99%

A Comprehensive Study on LPWANs With a Focus on the Potential of LoRa/LoRaWAN Systems

Milarokostas

Tsolkas

Passas

et al. 2023

IEEE Commun. Surv. Tutorials

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The Internet of Things (IoT) ecosystem is emerging rapidly. From the connectivity perspective, it is the vehicle towards connecting massive number of devices to the Internet; whereas, from the application perspective, it paves the way towards collecting huge amounts of data and enabling novel information-based services. The connectivity infrastructure that will support the IoT ecosystem is composed of both expansions applied in the well-deployed mobile network infrastructures, and dedicated deployments provided by vertical-specific setups. In the latter case, the Low-Power Wide Area Networks (LPWANs) have become a cost-effective solution, incorporating efficient technologies for wireless connectivity and control. In this context, a comprehensive study is provided to assist on the currently increasing research and development interest in the area of LPWANs. The study provides state-of-the-art work as well as research directions and tools for the most representative LPWAN technologies. Supporting the concept of openness in the IoT ecosystem, the study targets connectivity solutions that operate in unlicensed spectrum bands, such as the LoRa/LoRaWAN systems, and describes the most recent cloud and open-sourced solutions for IoT service and data management.

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“…A different approach to the previous simulators is CupCarbon [197], [198], [199]. The simulator focuses on simulating WSNs in the context of smart cities, by supporting three of the most widely used technologies: ZigBee, LoRa, and WiFi.…”

Section: Cupcarbonmentioning

confidence: 99%

“…Its Graphical User Interface (GUI) provides visualizations with the use of multiple mapping methods, such as Google Maps and OpenStreetMap. Simulator's documentation is fully explanatory [201] and includes all the mapping options, a description of the GUI, a presentation of the scripting language used in the simulator, and a vast amount of examples that can be used in an effort to get familiar with the simulator environment or start examining WSNs and their related algorithms, such as Low-Energy Adaptive Clustering Hierarchy (LEACH) and Distributed Least Polar-angle Connected Node (D-LPCN). The scripting language that is used is called SenScript and is consisted of a small number of commands, suitable for creating simple and more complex scenarios.…”

Section: Cupcarbonmentioning

confidence: 99%

A Comprehensive Study on LPWANs With a Focus on the Potential of LoRa/LoRaWAN Systems

Milarokostas¹,

Tsolkas²,

Passas³

et al. 2022

Preprint

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This publication offers a comprehensive survey on the topic of Low-Power Wide Area Networks (LPWANs). We discuss the scope of LPWAN connectivity and present numerous well-established technologies that can offer such a service. From this presentation, LoRa/LoRaWAN systems emerge as one of the dominant solutions, and hence we offer details about end-to-end LoRa/LoRaWAN-enabled networking. As an area being in its infancy, LPWANs in general and LoRa/LoRaWAN in specific undergo extensive research. We shed light in key contributions, whereas we also provide our findings regarding the main research focus and needs. Simulation studies appear to be a popular choice among researchers, whereas real system implementations are constantly emerging thanks to low deployment and operational cost. For the former, we offer a comparative overview of existing simulators, whereas for the latter we discuss key considerations about the server-side part of a deployed system, which is usually supported by cloud infrastructure. Finally, LPWANs are systems that experience intense data generation, and thus we deliver a presentation of data-related operations which take place in such systems. This presentation revealed a major vertical market that is expected to be served by LPWANs: the Industiral IoT; which embodies concepts like Asset Administration Shell and Digital Twins.

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CupCarbon-Lab: An IoT emulator

Cited by 22 publications

References 0 publications

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A Comprehensive Study on LPWANs With a Focus on the Potential of LoRa/LoRaWAN Systems

A Comprehensive Study on LPWANs With a Focus on the Potential of LoRa/LoRaWAN Systems

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