This paper proposes a new algorithm to evaluate the performance of the mobile edge
computing system. Specifically, a new metric called computation efficiency is defined as the …

Conserving energy resources and enhancing computation capability have been the key
design challenges in the era of the Internet of Things (IoT). The recent development of …

Computation offloading from a user equipment (UE) to a mobile edge cloud (MEC) is an
effective way to ease the computational burden of mobile devices, to improve the …

Mobile edge computing (MEC) is a novel technique that can reduce mobiles' computational
burden by tasks offloading, which emerges as a promising paradigm to provide computing …

In this paper, we propose an optimization framework of offloading from a single mobile
device (MD) to multiple edge devices. We aim to minimize both total tasks' execution latency …

Mobile edge computing (MEC) can augment the computation capabilities of mobile
terminals (MTs) through offloading the computational tasks from the MTs to the MEC …

Mobile edge computing (MEC) is an innovative computing paradigm to enhance the
computing capacity of mobile devices (MDs) by offloading computation‐intensive tasks to …

Mobile edge computing is an emerging computing paradigm to augment computational
capabilities of mobile devices by offloading computation-intensive tasks from resource …

In this letter, we consider a multiuser mobile-edge computing (MEC) system with latency
constraint. In order to meet the latency requirement and save energy consumption, each …

Energy-efficient computation is important in mobile edge computing (MEC) systems.
However, the computation efficiency problem in the unmanned aerial vehicle (UAV)-enabled …