04772nam 2200937z- 450 991055774500332120231214132845.0(CKB)5400000000045892(oapen)https://directory.doabooks.org/handle/20.500.12854/69302(EXLCZ)99540000000004589220202105d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierReal-Time Sensor Networks and Systems for the Industrial IoTBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20201 electronic resource (242 p.)3-03943-430-6 3-03943-431-4 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.History of engineering & technologybicsscanomaly detectionrecurrent neural networksneural networks compressionLHCWirelessHART networkdelay analysisreal-time systemsmulti-channel processingsimulation modelingtransmission scheduling schemeindustrial internet of thingswireless networksindustrial control systemswireless networked control systemsindustrial IoTsecuritylegacy production machineryreal-time condition monitoringwireless local area networkIEEE 802.11ahmedium access controltimelinessWireless Sensor and Actuator Networks (WSANs)multipath retransmissionresource schedulingrealtime wireless communicationmonitoring and control systemvirtualizationcontroller area networkfieldbusreal-timecontainerIndustrial Internet of Things (IIoT)LoRaWiFi HaLowTime Slotted Channel Hopping (TSCH)Narrowband IoT (NB-IoT)Bluetooth Low Energy (BLE)BLE Long RangeWirelessHARTISA100.11adeep sparse codingconvolutional neural networkssignal analysisrespiratory diseasesmedication adherencehardware designtrustcryptographyHistory of engineering & technologyKoulamas Christosedt1278626Lazarescu MihaiedtKoulamas ChristosothLazarescu MihaiothBOOK9910557745003321Real-Time Sensor Networks and Systems for the Industrial IoT3013622UNINA