Real-Time Sensor Networks and Systems for the Industrial IoT
The Industrial Internet of Things (Industrial IoT—IIoT) has emerged as the core construct behind the various cyber-physical systems constituting a principal dimension of the fourth Industrial Revolution. While initially born as the concept behind specific industrial applications of generic IoT techn...
I tiakina i:
| Hōputu: | Online |
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| Reo: | Ingarihi |
| I whakaputaina: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Ngā marau: | |
| Urunga tuihono: | ONIX_20210501_9783039434305_1048 |
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Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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| _version_ | 1869529932497944576 |
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| collection | Directory of Open Access Books |
| description | The Industrial Internet of Things (Industrial IoT—IIoT) has emerged as the core construct behind the various cyber-physical systems constituting a principal dimension of the fourth Industrial Revolution. While initially born as the concept behind specific industrial applications of generic IoT technologies, for the optimization of operational efficiency in automation and control, it quickly enabled the achievement of the total convergence of Operational (OT) and Information Technologies (IT). The IIoT has now surpassed the traditional borders of automation and control functions in the process and manufacturing industry, shifting towards a wider domain of functions and industries, embraced under the dominant global initiatives and architectural frameworks of Industry 4.0 (or Industrie 4.0) in Germany, Industrial Internet in the US, Society 5.0 in Japan, and Made-in-China 2025 in China. As real-time embedded systems are quickly achieving ubiquity in everyday life and in industrial environments, and many processes already depend on real-time cyber-physical systems and embedded sensors, the integration of IoT with cognitive computing and real-time data exchange is essential for real-time analytics and realization of digital twins in smart environments and services under the various frameworks’ provisions. In this context, real-time sensor networks and systems for the Industrial IoT encompass multiple technologies and raise significant design, optimization, integration and exploitation challenges. The ten articles in this Special Issue describe advances in real-time sensor networks and systems that are significant enablers of the Industrial IoT paradigm. In the relevant landscape, the domain of wireless networking technologies is centrally positioned, as expected. |
| format | Online |
| id | doab-20.500.12854ir-69302 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-693022024-04-11T15:10:36Z Real-Time Sensor Networks and Systems for the Industrial IoT Koulamas, Christos Lazarescu, Mihai anomaly detection recurrent neural networks neural networks compression LHC WirelessHART network delay analysis real-time systems multi-channel processing simulation modeling transmission scheduling scheme industrial internet of things wireless networks industrial control systems wireless networked control systems industrial IoT security legacy production machinery real-time condition monitoring wireless local area network IEEE 802.11ah medium access control timeliness Wireless Sensor and Actuator Networks (WSANs) multipath retransmission resource scheduling realtime wireless communication monitoring and control system virtualization controller area network fieldbus real-time container Industrial Internet of Things (IIoT) LoRa WiFi HaLow Time Slotted Channel Hopping (TSCH) Narrowband IoT (NB-IoT) Bluetooth Low Energy (BLE) BLE Long Range WirelessHART ISA100.11a deep sparse coding convolutional neural networks signal analysis respiratory diseases medication adherence hardware design trust cryptography n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology The Industrial Internet of Things (Industrial IoT—IIoT) has emerged as the core construct behind the various cyber-physical systems constituting a principal dimension of the fourth Industrial Revolution. While initially born as the concept behind specific industrial applications of generic IoT technologies, for the optimization of operational efficiency in automation and control, it quickly enabled the achievement of the total convergence of Operational (OT) and Information Technologies (IT). The IIoT has now surpassed the traditional borders of automation and control functions in the process and manufacturing industry, shifting towards a wider domain of functions and industries, embraced under the dominant global initiatives and architectural frameworks of Industry 4.0 (or Industrie 4.0) in Germany, Industrial Internet in the US, Society 5.0 in Japan, and Made-in-China 2025 in China. As real-time embedded systems are quickly achieving ubiquity in everyday life and in industrial environments, and many processes already depend on real-time cyber-physical systems and embedded sensors, the integration of IoT with cognitive computing and real-time data exchange is essential for real-time analytics and realization of digital twins in smart environments and services under the various frameworks’ provisions. In this context, real-time sensor networks and systems for the Industrial IoT encompass multiple technologies and raise significant design, optimization, integration and exploitation challenges. The ten articles in this Special Issue describe advances in real-time sensor networks and systems that are significant enablers of the Industrial IoT paradigm. In the relevant landscape, the domain of wireless networking technologies is centrally positioned, as expected. 2021-05-01T15:46:12Z 2021-05-01T15:46:12Z 2020 book ONIX_20210501_9783039434305_1048 9783039434305 9783039434312 https://directory.doabooks.org/handle/20.500.12854/69302 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/3092 https://mdpi.com/books/pdfview/book/3092 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03943-431-2 10.3390/books978-3-03943-431-2 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039434305 9783039434312 242 Basel, Switzerland open access |
| spellingShingle | anomaly detection recurrent neural networks neural networks compression LHC WirelessHART network delay analysis real-time systems multi-channel processing simulation modeling transmission scheduling scheme industrial internet of things wireless networks industrial control systems wireless networked control systems industrial IoT security legacy production machinery real-time condition monitoring wireless local area network IEEE 802.11ah medium access control timeliness Wireless Sensor and Actuator Networks (WSANs) multipath retransmission resource scheduling realtime wireless communication monitoring and control system virtualization controller area network fieldbus real-time container Industrial Internet of Things (IIoT) LoRa WiFi HaLow Time Slotted Channel Hopping (TSCH) Narrowband IoT (NB-IoT) Bluetooth Low Energy (BLE) BLE Long Range WirelessHART ISA100.11a deep sparse coding convolutional neural networks signal analysis respiratory diseases medication adherence hardware design trust cryptography n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Real-Time Sensor Networks and Systems for the Industrial IoT |
| title | Real-Time Sensor Networks and Systems for the Industrial IoT |
| title_full | Real-Time Sensor Networks and Systems for the Industrial IoT |
| title_fullStr | Real-Time Sensor Networks and Systems for the Industrial IoT |
| title_full_unstemmed | Real-Time Sensor Networks and Systems for the Industrial IoT |
| title_short | Real-Time Sensor Networks and Systems for the Industrial IoT |
| title_sort | real time sensor networks and systems for the industrial iot |
| topic | anomaly detection recurrent neural networks neural networks compression LHC WirelessHART network delay analysis real-time systems multi-channel processing simulation modeling transmission scheduling scheme industrial internet of things wireless networks industrial control systems wireless networked control systems industrial IoT security legacy production machinery real-time condition monitoring wireless local area network IEEE 802.11ah medium access control timeliness Wireless Sensor and Actuator Networks (WSANs) multipath retransmission resource scheduling realtime wireless communication monitoring and control system virtualization controller area network fieldbus real-time container Industrial Internet of Things (IIoT) LoRa WiFi HaLow Time Slotted Channel Hopping (TSCH) Narrowband IoT (NB-IoT) Bluetooth Low Energy (BLE) BLE Long Range WirelessHART ISA100.11a deep sparse coding convolutional neural networks signal analysis respiratory diseases medication adherence hardware design trust cryptography n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | anomaly detection recurrent neural networks neural networks compression LHC WirelessHART network delay analysis real-time systems multi-channel processing simulation modeling transmission scheduling scheme industrial internet of things wireless networks industrial control systems wireless networked control systems industrial IoT security legacy production machinery real-time condition monitoring wireless local area network IEEE 802.11ah medium access control timeliness Wireless Sensor and Actuator Networks (WSANs) multipath retransmission resource scheduling realtime wireless communication monitoring and control system virtualization controller area network fieldbus real-time container Industrial Internet of Things (IIoT) LoRa WiFi HaLow Time Slotted Channel Hopping (TSCH) Narrowband IoT (NB-IoT) Bluetooth Low Energy (BLE) BLE Long Range WirelessHART ISA100.11a deep sparse coding convolutional neural networks signal analysis respiratory diseases medication adherence hardware design trust cryptography n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20210501_9783039434305_1048 |