04809nam 2200961z- 450 991055774500332120210501(CKB)5400000000045892(oapen)https://directory.doabooks.org/handle/20.500.12854/69302(oapen)doab69302(EXLCZ)99540000000004589220202105d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierReal-Time Sensor Networks and Systems for the Industrial IoTBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20201 online 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 and technologybicsscanomaly detectionBLE Long RangeBluetooth Low Energy (BLE)containercontroller area networkconvolutional neural networkscryptographydeep sparse codingdelay analysisfieldbushardware designIEEE 802.11ahindustrial control systemsindustrial internet of thingsIndustrial Internet of Things (IIoT)industrial IoTISA100.11alegacy production machineryLHCLoRamedication adherencemedium access controlmonitoring and control systemmulti-channel processingmultipath retransmissionn/aNarrowband IoT (NB-IoT)neural networks compressionreal-timereal-time condition monitoringreal-time systemsrealtime wireless communicationrecurrent neural networksresource schedulingrespiratory diseasessecuritysignal analysissimulation modelingTime Slotted Channel Hopping (TSCH)timelinesstransmission scheduling schemetrustvirtualizationWiFi HaLowwireless local area networkwireless networked control systemswireless networksWireless Sensor and Actuator Networks (WSANs)WirelessHARTWirelessHART networkHistory of engineering and technologyKoulamas Christosedt1278626Lazarescu MihaiedtKoulamas ChristosothLazarescu MihaiothBOOK9910557745003321Real-Time Sensor Networks and Systems for the Industrial IoT3013622UNINA