Abstract The Internet of Things (IoT) is a network of interconnected computing devices that
link billions of devices to the Internet and take advantage of Information-centric networking …

Soon after the proliferation of User-Equipments (UEs) that work with cloud computing, there
was an explosion in the volume of generated data. Furthermore, emerging IoT applications …

The fast expansion of the Internet of Medical Things (IoMT) has resulted in a ubiquitous
home health diagnostic network. High patient demand results in high costs, short latency …

Benefiting from the fusion of communication and intelligent technologies, network-enabled
robots have become important to support future machine-assisted and unmanned …

Cloud, fog, and edge computing integration with future mobile Internet-of-Things (IoT)
devices and related applications in 5G/6G networks will become more practical in the …

Internet of Vehicles (IoV) applications integrating with edge computing will significantly drive
the growth of IoV. However, the contradiction between the high-speed mobility of vehicles …

We treat user equipments (UEs) and mobile edge clouds (MECs) as M/G/1 queueing
systems, which are the most suitable, powerful, and manageable models. We propose a …

Integrating cloud, fog, and edge computing with future Internet-of-Things (IoT) devices and
their applications in 5G/6G networks will become more feasible soon. This research …

The collaborative inference approach splits the Deep Neural Networks (DNNs) model into
two parts. It runs collaboratively on the end device and cloud server to minimize inference …

Wireless network operators continue to strive to meet the ever-increasing data needs of
users which reach 4G LTE to date. However, they have not been able to fully meet the …