With the advent of Internet of Things (IoT) connecting billions of mobile and stationary
devices to serve real-time applications, cloud computing paradigms face some significant …

Edge-cloud computing, combining the benefits of both edge computing and cloud
computing, is one of the most promising ways to address the resource insufficiency of smart …

With the explosive growth of mobile data and the unprecedented demand for computing
power, resource-constrained edge devices cannot effectively meet the requirements of …

The space–air–ground-integrated network (SAGIN) can enhance the performance of the
Internet of Vehicles (IoV). However, the basic hardware differences among communication …

City Internet-of-Things (IoT) applications are becoming increasingly complicated and thus
require large amounts of computational resources and strict latency requirements. Mobile …

Energy consumption for large amounts of delay-sensitive applications brings serious
challenges with the continuous development and diversity of Industrial Internet of Things …

Mobile-edge computing casts the computation-intensive and delay-sensitive applications of
mobile devices onto network edges. Task offloading incurs extra communication latency and …

The ever-increasing growth in maritime activities with large amounts of Maritime Internet-of-
Things (M-IoT) devices and the exploration of ocean network leads to a great challenge for …

In the era of 5G, with the increasing demands on computation and massive data traffic of the
Internet of Things (IoT), mobile edge computing (MEC) and ultradense network (UDN) are …

Mobile edge computing (MEC) has become a promising technique to accommodate
demands of resource-constrained mobile devices by offloading the task onto edge clouds …