With the development of Internet of Things (IoT) devices and the growth of users' demand for
computation and real-time services, artificial intelligence has been applied to reduce 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 …

Smart Robots, as an advanced domain of widespread concern, can be applied in diverse
fields to perform compute-intensive Internet of Things (IoT) applications. However, their …

We consider a multi-user multi-server mobile edge computing (MEC) system, in which users
arrive on a network randomly over time and generate computation tasks, which will be …

Mobile networks are becoming energy hungry, and this trend is expected to continue due to
a surge in communication and computation demand. Multi-access Edge Computing (MEC) …

Mobile edge computing (MEC) enables various services to be cached in close proximity to
the user equipments (UEs), thereby reducing the service delay of many emerging …

Aiming at the problem that it is quite hard to guarantee the real-time requirements of medical
users with high efficiency and low latency in the current Internet of Medical Things (IoMT) …

Internet of Things (IoT) has emerged as an enabling platform for smart cities. In this paper,
the IoT devices' offloading decisions, CPU frequencies and transmit powers joint …

With the rapid development of Mobile Edge Computing (MEC) technology, the
computationally intensive requests of end devices can be offloaded to MEC servers directly …

In mobile edge computing (MEC), partial computational offloading can be intelligently
investigated to reduce the energy consumption and service delay of user equipment (UE) by …