Mobile edge computing (MEC) in 5G networks has recently emerged as a promising
paradigm to enhance the data processing capabilities of mobile devices. Due to portability …

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 …

Given the notable surge in Internet of Things (IoT) devices, low Earth orbit (LEO) satellites
and unmanned aerial vehicles (UAVs) have emerged as promising networking components …

Task offloading decision is one of the core technologies of vehicular edge computing.
Efficient offloading decision can not only meet the requirements of complex vehicle tasks in …

The rapid advancement of mobile edge computing (MEC) networks has enabled the
augmentation of the computational power of mobile devices (MDs) by offloading …

This paper investigates computing task offloading from an Internet-of-Thing (IoT) device with
limited transmit power to a mobile-edge computing (MEC) server located beyond the …

In the distributed task offloading system, the desired task completion time cannot be
achieved when lots of mobile devices offload simultaneously the tasks with high complexity …

Edge computing brings computation closer to the user devices. This proximity allows user
devices with limited resources to execute complex and computation-intensive tasks on the …

Real-time and accurate recognition of distant traffic signs in a wide visual range is one of the
key technologies in 5G driven unmanned vehicles. Most earlier studies focused on …

We propose an effective hybrid vehicle-to-vehicle/vehicle-to-infrastructure (V2V/V2I)
transmission latency method based on a long short-term memory (LSTM) neural network to …