With the booming proliferation of user requests in the Internet of Things (IoT) network, Edge
Computing (EC) is emerging as a promising paradigm for the provision of flexible and …

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 …

The development of mobile networks has led to the emergence of challenges such as high
delays in storage, computing and traffic management. To deal with these challenges, fifth …

Network applications involve massive heterogeneous data fusion and analysis. Artificial
intelligence can significantly improve the convenience and user experience, but it requires a …

Currently, the deep integration of the Internet of Things (IoT) and edge computing has
improved the computing capability of the IoT perception layer. Existing offloading techniques …

In mobile edge computing, there are usually relevant dependencies between different tasks,
and traditional algorithms are inefficient in solving dependent task‐offloading problems and …

With the development of the Internet of Things (IoT) and the birth of various new IoT devices,
the capacity of massive IoT devices is facing challenges. Fortunately, edge computing can …

In recent years, edge computing has emerged as a promising paradigm for providing flexible
and reliable services for Internet of things (loT) applications. User requests can be offloaded …

As a promising computing paradigm, mobile edge computing (MEC) can assist Internet of
Things (IoT) devices in processing computation-intensive tasks. However, because of the …

Mobile edge computing (MEC) provides users with computing offloading services by
deploying computing resources near the edge of the network, In order to meet the needs of …