In recent years, the number of embedded computing devices connected to the Internet has
exponentially increased. At the same time, new applications are becoming more complex …

The cloud-edge-terminal collaborative network (CETCN) is considered as a novel paradigm
for emerging applications owing to its huge potential in providing low-latency and ultra …

Edge computing has been an efficient way to provide prompt and near-data computing
services for resource-and-delay sensitive IoT applications via computation offloading …

With the evolutionary development of the latency-sensitive industrial Internet-of-Things (IIoT)
applications, delay restriction becomes a critical challenge, which can be resolved by …

Fog computing is one of the promising technology that could reduce the execution cost and
energy consumption of smart industrial Internet of Things (IIoT) devices via a strategy called …

This paper considers the autonomous detecting and tracking task of unmanned aerial
vehicles (UAVs) in the maritime environment. Due to the high computational complexity of …

Recently, deploying deep neural network (DNN) models via collaborative inference, which
splits a pre-trained model into two parts and executes them on user equipment (UE) and …

Edge computing has appeared as a promising technology for realizing industrial
computation data at the edge of the network. The fundamental challenge in edge-enabled …

Abstract Multi-access Edge Computing (MEC) has recently emerged as a potential
technology to serve the needs of mobile devices (MDs) in 5G and 6G cellular networks. By …

We study the problem of dynamic computation offloading and resource allocation in mobile
edge computing (MEC) systems consisting of multiple mobile users (MUs) with stochastic …