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210512 ||| eng |
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|a 9783039434312
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|a 9783039434305
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|a books978-3-03943-431-2
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|a Koulamas, Christos
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| 245 |
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|a Real-Time Sensor Networks and Systems for the Industrial IoT
|h Elektronische Ressource
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| 260 |
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|a Basel, Switzerland
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2020
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| 300 |
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|a 1 electronic resource (242 p.)
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|a WiFi HaLow
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|a industrial internet of things
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|a deep sparse coding
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|a multipath retransmission
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|a n/a
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|a cryptography
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|a virtualization
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|a delay analysis
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|a transmission scheduling scheme
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|a IEEE 802.11ah
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|a signal analysis
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|a History of engineering and technology / bicssc
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|a wireless local area network
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|a LHC
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|a BLE Long Range
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|a Time Slotted Channel Hopping (TSCH)
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|a fieldbus
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|a hardware design
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|a controller area network
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|a neural networks compression
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|a real-time condition monitoring
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|a LoRa
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|a WirelessHART network
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|a multi-channel processing
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|a Wireless Sensor and Actuator Networks (WSANs)
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|a container
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|a industrial IoT
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|a wireless networks
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|a wireless networked control systems
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|a WirelessHART
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|a ISA100.11a
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|a Industrial Internet of Things (IIoT)
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|a timeliness
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|a real-time systems
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|a real-time
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|a recurrent neural networks
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|a Bluetooth Low Energy (BLE)
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|a security
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|a realtime wireless communication
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|a convolutional neural networks
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|a medication adherence
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|a Narrowband IoT (NB-IoT)
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|a simulation modeling
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|a trust
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|a legacy production machinery
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|a industrial control systems
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|a anomaly detection
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|a monitoring and control system
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|a resource scheduling
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|a respiratory diseases
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|a medium access control
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| 700 |
1 |
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|a Lazarescu, Mihai
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| 700 |
1 |
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|a Koulamas, Christos
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| 700 |
1 |
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|a Lazarescu, Mihai
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
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| 028 |
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|a 10.3390/books978-3-03943-431-2
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|u https://directory.doabooks.org/handle/20.500.12854/69302
|z DOAB: description of the publication
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|u https://www.mdpi.com/books/pdfview/book/3092
|7 0
|x Verlag
|3 Volltext
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|a 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.
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