Real-Time Sensor Networks and Systems for the Industrial IoT

• Autore: Koulamas Christos
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
• Descrizione fisica: 1 electronic resource (242 p.)
• Soggetto topico: History of engineering & technology
• Soggetto non controllato: anomaly detection; recurrent neural networks; neural networks compression; LHC; WirelessHART network; delay analysis; real-time systems; multi-channel processing; simulation modeling; transmission scheduling scheme; industrial internet of things; wireless networks; industrial control systems; wireless networked control systems; industrial IoT; security; legacy production machinery; real-time condition monitoring; wireless local area network; IEEE 802.11ah; medium access control; timeliness; Wireless Sensor and Actuator Networks (WSANs); multipath retransmission; resource scheduling; realtime wireless communication; monitoring and control system; virtualization; controller area network; fieldbus; real-time; container; Industrial Internet of Things (IIoT); LoRa; WiFi HaLow; Time Slotted Channel Hopping (TSCH); Narrowband IoT (NB-IoT); Bluetooth Low Energy (BLE); BLE Long Range; WirelessHART; ISA100.11a; deep sparse coding; convolutional neural networks; signal analysis; respiratory diseases; medication adherence; hardware design; trust; cryptography
• Persona (resp. second.): LazarescuMihai; KoulamasChristos
• Sommario/riassunto: 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.
• Titolo autorizzato: Real-Time Sensor Networks and Systems for the Industrial IoT
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557745003321
• Lo trovi qui: Univ. Federico II