To fulfill people's expectations for smart and user-friendly Internet of Things (IoT)
applications, the quantity of processing is fast expanding, and task latency constraints are …

Abstract The Internet of Things (IoT) technology is used to develop a wide range of
applications and services, including intelligent healthcare systems and virtual reality …

In today's era, Internet of Things (IoT) devices generate a vast amount of data, which is
typically stored in the cloud environment and can be accessed by edge and IoT devices. The …

Mobility-aware devices are crucial components of Industrial Internet of Things (IIoT).
However, they face limitations in terms of battery capacity and computation power, which …

Edge/fog computing, as a distributed computing paradigm, satisfies the low-latency
requirements of ever-increasing number of IoT applications and has become the …

In mobile edge computing (MEC), it is difficult to recognise an optimum solution that can
perform in limited energy by selecting the best communication path and components. This …

Cloud manufacturing (CMfg) converts the traditional manufacturing system into an Internet-of-
things-enabled (IoT-enabled) manufacturing system, where both manufacturing and …

To reduce computing delay and energy consumption in the Vehicular networks, the total cost
of task offloading, namely delay and energy consumption, is studied. A task offloading model …

Smart vehicles have a rising demand for computation resources, and recently vehicular
edge computing has been recognized as an effective solution. Edge servers deployed in …

Growing technologies like virtualization and artificial intelligence have become more
popular nowadays because they are more handy and accessible on mobile devices. But …