LEADER 04772nam 2200937z- 450 001 9910557745003321 005 20231214132845.0 035 $a(CKB)5400000000045892 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/69302 035 $a(EXLCZ)995400000000045892 100 $a20202105d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aReal-Time Sensor Networks and Systems for the Industrial IoT 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 electronic resource (242 p.) 311 $a3-03943-430-6 311 $a3-03943-431-4 330 $aThe 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. 606 $aHistory of engineering & technology$2bicssc 610 $aanomaly detection 610 $arecurrent neural networks 610 $aneural networks compression 610 $aLHC 610 $aWirelessHART network 610 $adelay analysis 610 $areal-time systems 610 $amulti-channel processing 610 $asimulation modeling 610 $atransmission scheduling scheme 610 $aindustrial internet of things 610 $awireless networks 610 $aindustrial control systems 610 $awireless networked control systems 610 $aindustrial IoT 610 $asecurity 610 $alegacy production machinery 610 $areal-time condition monitoring 610 $awireless local area network 610 $aIEEE 802.11ah 610 $amedium access control 610 $atimeliness 610 $aWireless Sensor and Actuator Networks (WSANs) 610 $amultipath retransmission 610 $aresource scheduling 610 $arealtime wireless communication 610 $amonitoring and control system 610 $avirtualization 610 $acontroller area network 610 $afieldbus 610 $areal-time 610 $acontainer 610 $aIndustrial Internet of Things (IIoT) 610 $aLoRa 610 $aWiFi HaLow 610 $aTime Slotted Channel Hopping (TSCH) 610 $aNarrowband IoT (NB-IoT) 610 $aBluetooth Low Energy (BLE) 610 $aBLE Long Range 610 $aWirelessHART 610 $aISA100.11a 610 $adeep sparse coding 610 $aconvolutional neural networks 610 $asignal analysis 610 $arespiratory diseases 610 $amedication adherence 610 $ahardware design 610 $atrust 610 $acryptography 615 7$aHistory of engineering & technology 700 $aKoulamas$b Christos$4edt$01278626 702 $aLazarescu$b Mihai$4edt 702 $aKoulamas$b Christos$4oth 702 $aLazarescu$b Mihai$4oth 906 $aBOOK 912 $a9910557745003321 996 $aReal-Time Sensor Networks and Systems for the Industrial IoT$93013622 997 $aUNINA