Fog computing is a paradigm that brings computational resources and services to the
network edge in the vicinity of user devices, lowering latency and connecting with cloud …

Centralized networks inevitably exhibit single points of failure that malicious actors regularly
target. Decentralized networks are more resilient if numerous participants contribute to the …

In this paper, we investigate a multiuser mobile edge computing (MEC)-aided smart Internet
of vehicle (IoV) network, where one edge server can help accomplish the intensive …

With the increasing stringent QoS constraints (eg, latency, bandwidth, jitter) imposed by
novel applications (eg, e-Health, autonomous vehicles, smart cities, etc.), as well as the …

With advancements of cloud technologies Multi-Access Edge Computing (MEC) emerged as
a remarkable edge-cloud technology to provide computing facilities to resource-restrained …

The integration of edge computing with IoT (EC-IoT) systems provides significant
improvements in addressing security and privacy challenges in IoT networks. This paper …

Big data refers to sets of structured, semi-structured, and unstructured data collected by
organizations and may be difficult to process using traditional processing methods. Big data …

Many mobile device applications require low end-to-end latency to edge computing
infrastructure when offloading their computation tasks in order to achieve real-time …

Recently, modeling of decision making and control systems that include heterogeneous
smart sensing devices (machines) as well as human agents as participants is becoming an …

In recent years, the security of wireless communication has received more and more
attention. However, with the increasing requirements for security performance in the process …