Real-Time Sensor Networks and Systems for the Industrial IoT

• Other Authors: Koulamas, Christos (Editor), Lazarescu, Mihai (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
• Subjects: History of engineering & technology; 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; n/a
• Online Access: DOAB: download the publication; DOAB: description of the publication

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 techn...