Over the past five years, interest in the literature regarding the security of the Internet of
Medical Things (IoMT) has increased. Due to the enhanced interconnectedness of IoMT …

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 …

Deep reinforcement learning (DRL) provides a new solution for autonomous robotic path
planning in a known indoor environment. Previous studies mainly focused on robot path …

Patient-focused healthcare applications are important to patients because they offer a range
of advantages that add value and improve the overall healthcare experience. The 5G …

Knowledge-Defined Networking (KDN) necessarily consists of a knowledge plane for the
generation of knowledge, typically using machine learning techniques, and the …

The fusion of blockchain and artificial intelligence (AI) marks a paradigm shift in healthcare,
addressing critical challenges in securing electronic health records (EHRs), ensuring data …

Driven by the demand of time-sensitive and data-intensive applications, edge computing
has attracted wide attention as one of the cornerstones of modern service architectures. An …

As blockchain technology merges with Mobile Edge Computing (MEC) and the Internet of
Things (IoT), we encounter increasing challenges such as high energy consumption and …

The advent of the sixth generation of mobile communications (6G) ushers in an era of
heightened demand for advanced network intelligence to tackle the challenges of an …

Abstract Cloud-Edge-End Collaboration (CEEC) computing architecture inherits many merits
from both edge computing and cloud computing and thus is considered as a promising …