TY  - GEN
AU  - Koulamas,Christos
AU  - Lazarescu,Mihai
AU  - Koulamas,Christos
AU  - Lazarescu,Mihai
TI  - Real-Time Sensor Networks and Systems for the Industrial IoT
SN  - books978-3-03943-431-2
PY  - 2020///
CY  - Basel, Switzerland
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - History of engineering & technology
KW  - bicssc
KW  - anomaly detection
KW  - recurrent neural networks
KW  - neural networks compression
KW  - LHC
KW  - WirelessHART network
KW  - delay analysis
KW  - real-time systems
KW  - multi-channel processing
KW  - simulation modeling
KW  - transmission scheduling scheme
KW  - industrial internet of things
KW  - wireless networks
KW  - industrial control systems
KW  - wireless networked control systems
KW  - industrial IoT
KW  - security
KW  - legacy production machinery
KW  - real-time condition monitoring
KW  - wireless local area network
KW  - IEEE 802.11ah
KW  - medium access control
KW  - timeliness
KW  - Wireless Sensor and Actuator Networks (WSANs)
KW  - multipath retransmission
KW  - resource scheduling
KW  - realtime wireless communication
KW  - monitoring and control system
KW  - virtualization
KW  - controller area network
KW  - fieldbus
KW  - real-time
KW  - container
KW  - Industrial Internet of Things (IIoT)
KW  - LoRa
KW  - WiFi HaLow
KW  - Time Slotted Channel Hopping (TSCH)
KW  - Narrowband IoT (NB-IoT)
KW  - Bluetooth Low Energy (BLE)
KW  - BLE Long Range
KW  - WirelessHART
KW  - ISA100.11a
KW  - deep sparse coding
KW  - convolutional neural networks
KW  - signal analysis
KW  - respiratory diseases
KW  - medication adherence
KW  - hardware design
KW  - trust
KW  - cryptography
KW  - n/a
N1  - Open Access
N2  - 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
UR  - https://mdpi.com/books/pdfview/book/3092
UR  - https://directory.doabooks.org/handle/20.500.12854/69302
ER  -