Design methodology for industrial internet-of-things wireless systems

Carlos Mendes Da Costa; Peter Baltus

doi:10.1109/JSEN.2020.3031659

Design methodology for industrial internet-of-things wireless systems

Carlos Mendes Da Costa (Corresponding author)
, Peter Baltus

Research output: Contribution to journal › Article › Academic › peer-review

24 Citations (Scopus)

149 Downloads (Pure)

Abstract

The ubiquity foreseen by the Internet-of-Things (IoT) and powered by the 5G advancements has motivated research on wireless solutions for critical applications, in particular, Industrial IoT (IIoT). Nevertheless, there is little or no research on a unified design methodology for IIoT that tackles the conflicting wireless system performances of Power, Latency, and Reliability (PLR). Obtaining such a framework is vital for empowering further development and fair comparison in future IIoT designs. Thereby, this paper presents a novel design methodology to tackle PLR trade-off in IIoT Wireless Systems (IIoT-WS). This new methodology uses a meet-in-the-middle system approach to design an entire PLR RF system, and a custom Multiple-Criteria Decision Analysis (MCDA) to help decide the best design variables that are both resource-efficient and PLR-balanced for a given application. Finally, to quantify the methodology for critical wireless systems, a lab-demonstrator for automotive application is designed and its performance compared to other wireless systems standards.

Original language	English
Article number	9233458
Pages (from-to)	5529-5542
Number of pages	14
Journal	IEEE Sensors Journal
Volume	21
Issue number	4
DOIs	https://doi.org/10.1109/JSEN.2020.3031659
Publication status	Published - 15 Feb 2021

Bibliographical note

Funding Information:
Manuscript received September 24, 2020; accepted October 1, 2020. Date of publication October 20, 2020; date of current version January 15, 2021. This work was supported by the AutoDrive Project funded by the Electronic Components and Systems for European Leadership Joint Undertaking (ECSEL JU) in collaboration with the European Union’s H2020 Framework Programme (H2020/2014-2020) and the National Authorities under Agreement 737469. The associate editor coordinating the review of this article and approving it for publication was Prof. Huang Chen Lee. (Corresponding author: Carlos Mendes da Costa, Jr.) The authors are with the Department of Electrical Engineering, Eindhoven University of Technology, 5612 Eindhoven, The Netherlands (e-mail: [email protected]). Digital Object Identifier 10.1109/JSEN.2020.3031659

Publisher Copyright:
© 2001-2012 IEEE.

Funding

Manuscript received September 24, 2020; accepted October 1, 2020. Date of publication October 20, 2020; date of current version January 15, 2021. This work was supported by the AutoDrive Project funded by the Electronic Components and Systems for European Leadership Joint Undertaking (ECSEL JU) in collaboration with the European Union’s H2020 Framework Programme (H2020/2014-2020) and the National Authorities under Agreement 737469. The associate editor coordinating the review of this article and approving it for publication was Prof. Huang Chen Lee. (Corresponding author: Carlos Mendes da Costa, Jr.) The authors are with the Department of Electrical Engineering, Eindhoven University of Technology, 5612 Eindhoven, The Netherlands (e-mail: [email protected]). Digital Object Identifier 10.1109/JSEN.2020.3031659

Keywords

IIoT-WS
Industrial IoT
low latency
low power
MCDA
multi-objective optimization
Pareto front
reliable communications
system design
URLCC
WSN

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10.1109/JSEN.2020.3031659

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Cite this

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abstract = "The ubiquity foreseen by the Internet-of-Things (IoT) and powered by the 5G advancements has motivated research on wireless solutions for critical applications, in particular, Industrial IoT (IIoT). Nevertheless, there is little or no research on a unified design methodology for IIoT that tackles the conflicting wireless system performances of Power, Latency, and Reliability (PLR). Obtaining such a framework is vital for empowering further development and fair comparison in future IIoT designs. Thereby, this paper presents a novel design methodology to tackle PLR trade-off in IIoT Wireless Systems (IIoT-WS). This new methodology uses a meet-in-the-middle system approach to design an entire PLR RF system, and a custom Multiple-Criteria Decision Analysis (MCDA) to help decide the best design variables that are both resource-efficient and PLR-balanced for a given application. Finally, to quantify the methodology for critical wireless systems, a lab-demonstrator for automotive application is designed and its performance compared to other wireless systems standards. ",

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Design methodology for industrial internet-of-things wireless systems

Abstract

Bibliographical note

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Keywords

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