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 is a paradigm that brings computational resources and services to the
network edge in the vicinity of user devices, lowering latency and connecting with cloud …

In the era of Industry 4.0, the Internet-of-Things (IoT) performs the driving position analogous
to the initial industrial metamorphosis. IoT affords the potential to couple machine-to …

With the rise in Internet of Things (IoT) technology in recent years the amount of resource
requirement of various IoT applications substantially increases. The data generated by …

In enterprise management systems (EMS), augmented Intelligence of Things (AIoT) devices
generate delay-sensitive and energy-intensive tasks for learning analytics, articulate …

Digital-twin-enabled cloud-centric architecture is a promising evolution trend of sixth
generation (6G) network, which brings new opportunities and challenges for mobile video …

Due to the rapid development of the fifth-generation (5G) applications, and increased
demand for even faster communication networks, we expected to witness the birth of a new …

As the renewable energy sources (RES) continues to grow in power system due to
emissions decarbonisation and sustainability policies, a fast and reliable connection …

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

Recent developments in the Internet of Things (IoT) and real‐time applications, have led to
the unprecedented growth in the connected devices and their generated data. Traditionally …