Edge computing facilitates low-latency services at the network's edge by distributing
computation, communication, and storage resources within the geographic proximity of …

Mobile edge computing (MEC) raises a variety of new challenges for app vendors, including
the Edge User Allocation (EUA) problem. EUA aims to allocate as many app users as …

Currently, the rapid development of Internet of Things (IoT) technology is promoting the
development of smart grids. However, because of the numerous loads present and the …

Artificial intelligence (AI) plays a key role in the distribution automation system (DAS). By
using artificial intelligence technology, it is possible to intelligently verify and monitor …

Abstract As the Internet of Things (IoT) evolves and is integrated into cutting-edge Smart
Vertical Networks-based IoT, a plethora of IoT mobile devices (IMD) must contend with the …

Edge Computing (EC) enables a new kind of caching system in close geographic proximity
to end-users by allowing app vendors to cache popular data on edge servers deployed at …

The seamless and ubiquitous wireless access is crucial to the immersive experiences in the
metaverse. Considering the limited communication and computing resources, how to …

As a new paradigm of distributed computing, mobile edge computing (MEC) has gained
increasing attention due to its ability to expand the capabilities of centralized cloud …

Edge computing (EC) serves as an effective technology, empowering end‐users to attain
high bandwidth and low latency by offloading tasks with high computational demands from …

The rise of 5G technology has driven the development of edge computing. Computation
offloading is the key and challenging point in edge computing, which investigates offloading …