To solve the problem of high time consumption and energy loss of edge computing
perceptual task offloading in the mobile IoT (Internet of things), it is necessary to increase the …

As a new form of computing based on the core technology of cloud computing and built on
edge infrastructure, edge computing can handle computing-intensive and delay-sensitive …

Mobile edge computing (MEC) deploys servers on the edge of the mobile network to reduce
the data transmission delay between servers and mobile devices, and can meet the …

The Internet of mobile things is a burgeoning technique that generates, stores and
processes big real-time data to render rich services for mobile users. In order to mitigate …

As the technology of the Internet of Things (IoT) and mobile edge computing (MEC)
develops, more and more tasks are offloaded to the edge servers to be computed. The …

Internet-of-Things (IoT) applications are becoming more resource-hungry and latency-
sensitive, which are severely constrained by limited resources of current mobile hardware …

Edge computing has emerged as a promising paradigm to deploy computing resources to
the network edge. However, most existing computation offloading strategies consider only …

Machine learning (ML) plays a key role in Intelligent Industrial Internet of Things (IIoT)
applications. Processing of the computation-intensive ML tasks can be largely enhanced by …

Abstract The Internet of Things (IoT) is a network of tens of billions of physical devices that
are all connected to each other. These devices often have sensors or actuators, small …

In IoT (Internet of Things) edge computing, task offloading can lead to additional
transmission delays and transmission energy consumption. To reduce the cost of resources …