Toward Smart Traceability for Digital Sensors and the Industrial Internet of Things

Eichstädt, Sascha; Gruber, Maximilian; Vedurmudi, Anupam Prasad; Seeger, Benedikt; Bruns, Thomas; Kok, Gertjan

doi:10.3390/s21062019

Cited by 25 publications

(26 citation statements)

References 30 publications

(36 reference statements)

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“…The data dissemination in IIoT is generally handled using cellular communications. In scenarios where the power of the sensors is an issue, short-range and low-powered communication such as Zigbee can be used as first-hop [75,76].…”

Section: Industrial Internet Of Thingsmentioning

confidence: 99%

Reliable Internet of Things: Challenges and Future Trends

et al. 2021

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The Internet of Things (IoT) is a vital component of many future industries. By intelligent integration of sensors, wireless communications, computing techniques, and data analytics, IoT can increase productivity and efficiency of industries. Reliability of data transmission is key to realize several applications offered by IoT. In this paper, we present an overview of future IoT applications, and their major communication requirements. We provide a brief survey of recent work in four major areas of reliable IoT including resource allocation, latency management, security, and reliability metrics. Finally, we highlight some of the important challenges for reliable IoT related to machine learning techniques, 6G communications and blockchain based security that need further investigation and discuss related future directions.

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Section: Industrial Internet Of Thingsmentioning

confidence: 99%

Reliable Internet of Things: Challenges and Future Trends

et al. 2021

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“…Hence, in the area of semantic data mining, several studies grounded on diverse approaches have been discussed, as presented in Table 1. IoT is a paradigm based on sensor interconnection, wherein the convergence with semantic data mining has become a popular research area [12,13,[17][18][19]. For example, in [14], the authors improved resource management for wireless networks that operate cooperatively based on frameworks where semantic web techniques are applied.…”

Section: Semantic Data Miningmentioning

confidence: 99%

Decision-Making under Uncertainty for the Deployment of Future Hyperconnected Networks: A Survey

Alzate-Mejía

Santos-Boada

Amazonas

2021

Sensors

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Among the several emerging dimensioning, control and deployment of future communication network paradigms stands out the human-centric characteristic that creates an intricate relationship between telematics and human activities. The hard to model dynamics of user behavior introduces new uncertainties into these systems that give rise to difficult network resource management challenges. According to this context, this work reviews several decision-making computational methods under the influence of uncertainties. This work, by means of a systematic literature review, focuses on sensor-based Internet of Things scenarios such as Smart Spaces and Industry 4.0. According to our conclusions, it is mandatory to establish a means for modeling the human behavior context in order to improve resource assignment and management.

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“…Includes all equipment, communication, control and services for integrated manufacturing systems: Industry 4.0, smart manufacturing, automation of factories, enabled by digitalisation (including the KETs artificial intelligence, digital security and connectivity) [50][51][52].…”

Section: Digitalized and Integrated Manufacturing Systemsmentioning

confidence: 99%

New European Metrology Network for advanced manufacturing

Przyklenk

Balsamo

O’Connor

et al. 2021

Meas. Sci. Technol.

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Advanced manufacturing has been identified as one of the key enabling technologies with applications in multiple industries. The growing importance of advanced manufacturing is reflected by an increased number of publications on this topic in recent years. Advanced manufacturing requires new and enhanced metrology methods to assure the quality of manufacturing processes and the resulting products. However, a high-level coordination of the metrology community is currently absent in this field and consequently this limits the impact of metrology developments on advanced manufacturing. In this article we introduce the new European Metrology Network (EMN) for Advanced Manufacturing within EURAMET, the European Association of National Metrology Institutes (NMIs). The EMN is intended to be operated sustainably by NMIs and Designated Institutes in close cooperation with stakeholders interested in advanced manufacturing. The objectives of the EMN are to set up a permanent stakeholder dialogue, to develop a Strategic Research Agenda for the metrology input required for advanced manufacturing technologies, to create and maintain a knowledge sharing programme and to implement a web-based service desk for stakeholders. The EMN development is supported by a Joint Network Project within the European Metrology Programme for Innovation and Research.

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Toward Smart Traceability for Digital Sensors and the Industrial Internet of Things

Cited by 25 publications

References 30 publications

Reliable Internet of Things: Challenges and Future Trends

Reliable Internet of Things: Challenges and Future Trends

Decision-Making under Uncertainty for the Deployment of Future Hyperconnected Networks: A Survey

New European Metrology Network for advanced manufacturing

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