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Low-Level Wireless and Sensor Networks for Industry 4.0 Communication – Presentation

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Advances in Computational Collective Intelligence (ICCCI 2021)

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Abstract

Wireless communication is becoming increasingly popular in factory automation and process control systems, especially when moving components are used. One reason for this growth is the benefits that wireless communication offers, which include lower installation costs than wired networks, less mechanical wear and tear and the ability to provide critical information even about the moving components. Robust and reliable wireless communication solutions must accommodate the demanding and changing conditions of the existing industrial environment, such as the variable number of communication elements, possible interference, a large area for which to provide communication and an organic amount of available battery power. For mobile industrial environments, sensor networks appear to be candidates that can meet many or even all of these requirements. Several types of such communication solutions are available and are in use. This paper focuses on selected wireless networks that can be considered to be enabling technology for the new generation of manufacturing systems.

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Acknowledgments

The research that led to these results received funding from the Norway Grants 20142021, which the National Centre operates for Research and Development under the project “Automated Guided Vehicles integrated with Collaborative Robots for Smart Industry Perspective” (Project Contract no.: NOR/POLNOR/CoBotAGV/0027/2019 00) and partially by the Polish Ministry of Science and Higher Education Funds for Statutory Research.

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Correspondence to Anna-Lena Kampen .

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Kampen, AL., Fojcik, M., Cupek, R., Stoj, J. (2021). Low-Level Wireless and Sensor Networks for Industry 4.0 Communication – Presentation. In: Wojtkiewicz, K., Treur, J., Pimenidis, E., Maleszka, M. (eds) Advances in Computational Collective Intelligence. ICCCI 2021. Communications in Computer and Information Science, vol 1463. Springer, Cham. https://doi.org/10.1007/978-3-030-88113-9_38

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  • DOI: https://doi.org/10.1007/978-3-030-88113-9_38

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  • Online ISBN: 978-3-030-88113-9

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