In recent times, the Internet of Things (IoT) applications, including smart transportation, smart
healthcare, smart grid, smart city, etc. generate a large volume of real-time data for decision …

Fog computing has emerged as a computing paradigm for resource-restricted Internet of
things (IoT) devices to support time-sensitive and computationally intensive applications …

Abstract Industry 5.0 vision, a step toward the next industrial revolution and enhancement to
Industry 4.0, conceives the new goals of resilient, sustainable, and human-centric …

Over the last few decades, Internet of Things (IoT) has become the spotlight area of research
within the Industries and Academics. Primarily, IoT devices are characterized by small and …

Energy consumption for large amounts of delay-sensitive applications brings serious
challenges with the continuous development and diversity of Industrial Internet of Things …

Industry 5.0 vision, a step toward the next industrial revolution and enhancement to Industry
4.0, envisioned the new goals of resilient, sustainable, and human-centric approaches in …

Ultra-reliable connectivity and delay-sensitive data transmission is the ever increasing
demand for the next generation transportation system. However, substantial network …

Propelled by the growth of automotive industry, and the ubiquity of smart sensors, intelligent
transport systems such as the Internet of Vehicles (IoV) have seen significant research …

Edge–cloud collaboration is critical in the Industrial Internet of Things (IIoT) for serving
computation-intensive tasks (eg, bearing fault monitoring) that require low-response delay …

The fog-computing paradigm complements cloud computing to support the deployment and
execution of latency-sensitive applications at the network edge by offering enhanced …