Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models

Minerva, Roberto; Lee, Gyu Myoung; Crespi, Noël

doi:10.1109/jproc.2020.2998530

Cited by 471 publications

(219 citation statements)

References 223 publications

(187 reference statements)

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“…3) Digital Twin Digital twin is an emerging technology and one significant use case of 6G communication system. It refers to the logical copy (a.k.a., virtual object or softwarized copy) of a physical object [164]. The virtual representation shall reflect all the dynamics, characteristics, critical components, and important properties of an original physical object that operates and lives throughout its life cycle [165].…”

Section: ) Artificial Intelligencementioning

confidence: 99%

“…Towards full utilization of digital twin in 6G communication system and specifically in the context of Industry 4.0 and IoT, there are still a number of very critical research problems, which are needed to be addressed from both academia and industry. They are, including, but not limited to: dynamically scaling up the platform of digital twin to millions and billions of IoT devices, the deployment of the zero-touch and selfmanagement approaches to the devices and processes, lack of existing models and methodologies in the area of AI to virtualize the physical object, security and privacy, and many others that are thoroughly addressed in [164], [165], and [169]. These challenges shall be, first and foremost, explored aiming to develop more suitable digital twin solutions for a wide range of IoT deployment scenarios and industrial adaptations in the coming decade.…”

Section: ) Artificial Intelligencementioning

confidence: 99%

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The Road Towards 6G: A Comprehensive Survey

Jiang

Han

Habibi

et al. 2021

IEEE Open J. Commun. Soc.

919

241

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As of today, the fifth generation (5G) mobile communication system has been rolled out in many countries and the number of 5G subscribers already reaches a very large scale. It is time for academia and industry to shift their attention towards the next generation. At this crossroad, an overview of the current state of the art and a vision of future communications are definitely of interest. This article thus aims to provide a comprehensive survey to draw a picture of the sixth generation (6G) system in terms of drivers, use cases, usage scenarios, requirements, key performance indicators (KPIs), architecture, and enabling technologies. First, we attempt to answer the question of "Is there any need for 6G?" by shedding light on its key driving factors, in which we predict the explosive growth of mobile traffic until 2030, and envision potential use cases and usage scenarios. Second, the technical requirements of 6G are discussed and compared with those of 5G with respect to a set of KPIs in a quantitative manner. Third, the state-of-the-art 6G research efforts and activities from representative institutions and countries are summarized, and a tentative roadmap of definition, specification, standardization, and regulation is projected. Then, we identify a dozen of potential technologies and introduce their principles, advantages, challenges, and open research issues. Finally, the conclusions are drawn to paint a picture of "What 6G may look like?". This survey is intended to serve as an enlightening guideline to spur interests and further investigations for subsequent research and development of 6G communications systems.

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Section: ) Artificial Intelligencementioning

confidence: 99%

Section: ) Artificial Intelligencementioning

confidence: 99%

The Road Towards 6G: A Comprehensive Survey

Jiang

Han

Habibi

et al. 2021

IEEE Open J. Commun. Soc.

919

241

View full text Add to dashboard Cite

show abstract

“…Small volumes, high customization, and low prices represent diverging factors, making the identification and design of a suitable solution very difficult (often impossible). This is particularly true for standard monolithic hardware, which requires a new design for potentially every customer or vertical application [ 17 ].…”

Section: Agile’s Unique Featuresmentioning

confidence: 99%

A Fully Open-Source Approach to Intelligent Edge Computing: AGILE’s Lesson

Vecchio

Azzoni

Menychtas

et al. 2021

Sensors

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In this paper, we describe the main outcomes of AGILE (acronym for “Adaptive Gateways for dIverse muLtiple Environments”), an EU-funded project that recently delivered a modular hardware and software framework conceived to address the fragmented market of embedded, multi-service, adaptive gateways for the Internet of Things (IoT). Please define if appropriate. Its main goal is to provide a low-cost solution capable of supporting proof-of-concept implementations and rapid prototyping methodologies for both consumer and industrial IoT markets. AGILE allows developers to implement and deliver a complete (software and hardware) IoT solution for managing non-IP IoT devices through a multi-service gateway. Moreover, it simplifies the access of startups to the IoT market, not only providing an efficient and cost-effective solution for industries but also allowing end-users to customize and extend it according to their specific requirements. This flexibility is the result of the joint experience of established organizations in the project consortium already promoting the principles of openness, both at the software and hardware levels. We illustrate how the AGILE framework can provide a cost-effective yet solid and highly customizable, technological foundation supporting the configuration, deployment, and assessment of two distinct showcases, namely a quantified self application for individual consumers, and an air pollution monitoring station for industrial settings.

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“…An advanced functionality of the DT is the cognition capability (CDT), i.e. a DT able to "reason" about the data and the states of the object and its behaviour [21].…”

Section: Understanding Cdtsmentioning

confidence: 99%

Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks – an Operational model

Kalaboukas¹,

Rožanec²,

Košmerlj³

et al. 2021

Preprint

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Supply chain agility and resilience are key factors for the success of manufacturing companies in their attempt to respond to dynamic changes. Circular economy, the need for optimized material flows, ad-hoc responses and personalization are some of the trends that require supply chains to become “cognitive”, i.e. able to predict trends and flexible enough in dynamic environments, ensuring optimized operational performance. Digital Twins (DTs) is a promising technology, and a lot of work is done on the factory level. In this paper, the concept of Cognitive Digital Twins (CDTs) and how they can be deployed in connected and agile supply chains is elaborated. The need for CDTs in the supply chain as well as the main CDT enablers and how they can be deployed under an operational model in agile networks is described. Emphasis is given on the modelling, cognition and governance aspects as well as on how a supply chain can be configured as a network of connected CDTs. Finally, a deployment methodology of the developed model into an example of a circular supply chain is proposed.

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Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models

Abstract: The version presented here may differ from the published version or from the version of the record. Please see the repository URL above for details on accessing the published version and note that access may require a subscription.

Cited by 471 publications

References 223 publications

The Road Towards 6G: A Comprehensive Survey

The Road Towards 6G: A Comprehensive Survey

A Fully Open-Source Approach to Intelligent Edge Computing: AGILE’s Lesson

Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks – an Operational model

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