The emerging mobile-edge computing paradigm provides opportunities for the resource-
hungry mobile devices (MDs) to migrate computation. In order to satisfy the requirements of …

With the emergence of mobile edge computing (MEC), mobile users are able to process
various tasks by offloading large-computation-demanding tasks to MEC server located at the …

Due to the limited computing resources and energy of IoT devices, complex computing tasks
are offloaded to sufficient computing servers, such as Cloud Center. However, offloading …

Mobile edge computing (MEC) and device-to-device (D2D) offloading are two promising
paradigms in the industrial Internet of Things (IIoT). In this article, we investigate task co …

In this paper, a software defined mobile edge computing (SD-MEC) in Internet of Things
(IoT) is investigated, in which multiple IoT devices choose to offload their computation tasks …

With the evolutionary development of latency sensitive applications, delay restriction is
becoming an obstacle to run sophisticated applications on mobile devices. Partial …

Currently, the computing capability of smart mobile devices has been extremely improved.
Exploiting computing resources of mobile devices to assist the network through offloading …

The Internet of Things (IoT) has gained great attention in recent years, due to its significant
role in industry innovations and promotions. However, it is still facing many technical …

The emergence of massive Internet of Things (IoT) mobile devices (MDs) and the
deployment of ultradense 5G cells have promoted the evolution of IoT toward ultradense IoT …

In this paper, we develop computation offloading scheme based on device-to-device (D2D)
communications. The scheme is proposed for effective computation execution where some …