With the rapid development of mobile communication technology, user terminals need to
face more diverse and complex application, which makes it difficult for the traditional network …

The task offloading problem, which aims to balance the energy consumption and latency for
Mobile Edge Computing (MEC), is still a challenging problem due to the dynamic changing …

The massive use of Internet of Things (IoT) mobile devices (MDs) and the increasing
demand for their computing have created huge challenges for the current development of …

Abstract Mobile Edge Computing (MEC) enables smart mobile devices to handle
computationally intensive tasks with limited resources. By offloading tasks to the edge of the …

Cloud-edge collaboration can overcome the shortcomings of high latency of the centralized
model of cloud computing and insufficient computing power of edge computing, and better …

To meet the cost minimization requirement of computational offloading for UAVs in Mobile
Edge Computing (MEC) environment, this paper proposes a cost minimization strategy …

Mobile edge computing (MEC) has been developed as a promising technology to extend
various services to the edge of Internet of things. However, it is difficult to deploy MEC …

To address the limited computing resources and real-time data processing requirements of
mobile devices in the mobile edge network environment, this paper proposes a deep …

Cloud-edge collaborative computing has become an emerging computing paradigm due to
its ability in fully utilizing the computing power for cloud and edge servers. However, in the …

With the booming IoT industry in recent years, smart devices are carrying more
computationally intensive tasks. In the scenario of using drones for smart device inspection …