Federated Learning with Correlated Data
While information delivery in industrial Internet of things demands reliability and latency guarantees, the freshness of the controller’s available information, measured by […]
Three-layer Approach to Detect Anomalies in Industrial Environments based on Machine Learning
This paper introduces a general approach to design a tailored solution to detect rare events in different industrial applications based on Internet […]
BlockEdge
Industry 4.0 encompasses a promise of a new industrial revolution in terms of providing secure, intelligent, autonomous and self-adaptive industrial IoT (IIoT) […]
Data-Driven Predictive Scheduling in Ultra-Reliable Low-Latency Industrial IoT
To date, model-based reliable communication with low latency is of paramount importance for time-critical wireless control systems. In this work, we study […]
Performance of lorawan for handling telemetry and alarm messages in industrial applications
This paper analyzes the feasibility of the coexistence of telemetry and alarm messages employing Long-Range Wide-Area Network (LoRaWAN) technology in industrial environments. […]
Framework for the Identification of Rare Events via Machine Learning and IoT Networks
This paper introduces an industrial cyber-physical system (CPS) based on the Internet of Things (IoT) that is designed to detect rare events […]
Taming the Tail of Maximal Information Age in Wireless Industrial Networks
In wireless industrial networks, the information of time-sensitive control systems needs to be transmitted in an ultra-reliable and low-latency manner. This letter […]