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 …

With the continuous addition of an abundant of heterogeneous devices, the limitation of task
delay has become an obstacle to the development of the Industrial Internet of Things (IIoT) …

In this paper, end devices are considered here as agent, which makes its decisions on
whether the network will offload the computation tasks to the edge devices or not. To tackle …

As a mode of processing task request, edge computing paradigm can reduce task delay and
effectively alleviate network congestion caused by the proliferation of Internet of things (IoT) …

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

With the rapid development of Internet of Things (IoT) and next-generation communication
technologies, resource-constrained mobile devices (MDs) fail to meet the demand of …

The development of Industrial Internet of Things (IIoT) and Industry 4.0 has completely
changed the traditional manufacturing industry. Intelligent IIoT technology usually involves a …

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

Intelligent networking and big data analytics are two important pillars for the operation of
systems. Edge computing is frequently used in smart IoT systems, particularly in those which …

It is difficult for resource-constrained edge servers to simultaneously meet the performance
requirements of all the latency-sensitive Internet of Things (IoT) applications in edge …