The rapid development of the Internet of Things and wireless communication has resulted in
the emergence of many latency-constrained and computation-intensive applications such as …

Edge computing is a viable paradigm for supporting Industrial Internet of Things deployment
by shifting computationally demanding tasks from resource-constrained devices to powerful …

The emerging UAV network suffers from severe security risks from attackers. If the attackers
sneak into an Internet of UAV (IoU) network, they would occupy the scarce resources which …

Over the last years, Unmanned Aerial Vehicles (UAVs) have seen significant advancements
in sensor capabilities and computational abilities, allowing for efficient autonomous …

Unmanned aerial vehicle (UAV) technology has been developed to establish a mobile-edge
computing (MEC) network for the Internet of Things (IoT). In the MEC network, users can …

Recent advances in artificial intelligence (AI) have impacts on the development of
communication networks. Diversified applications and scenarios put forward AI-native …

To address the challenges in the era of artificial intelligence, this paper investigates how
computing offloading techniques can be utilized to improve the system performance in …

Task offloading is a potential solution for computation-intensive vehicular applications due to
limited on-board computing resources. However, traditional model-driven methods are …

This paper investigates an unmanned aerial vehicle (UAV)-assisted mobile edge computing
scenario, where multiple UAVs provide computational services for user devices (UDs) with …

A recent trend dictating evolution of management and orchestration of computer networks is
constituted by the softwarization and virtualization of them, which have drastically simplified …